Free Test
Question: / 10
Quiz
Question 1/101/10
Topic 1, Fabrikam, Inc
Background -
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation
initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud
migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the
current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and
implement AI solutions, wherever possible, to streamline operations.
Problem Statements -
Fabrikam's infrastructure currently relies on various on-premises systems that require sales
executives to use corporate computers with physical keyboards to access business information
during customer interactions. Mobile phones cannot be used for these purposes, as the systems
depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to
search for data on several disparate systems and file servers, rather than focusing on the customers.
This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are
NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will
depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for
the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives -
General -
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer
engagement, and responsible AI adoption. The current application infrastructure is on-premises and
must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration -
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based
topology; this will include user authentication, the security framework, and, primarily, the adoption
of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data
model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales
team.
Sales Cycle Enablement -
To achieve the company's objectives, Fabrikam intends to implement the following strategies to
enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.
Ensure that sales managers can access unanswered correspondence from prospects and intervene as
appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and
customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and
send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have
questions about internal policies or customer data.
Requirements -
Infrastructure Migration -
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.
The company must follow Microsoft-recommended methodologies for infrastructure migration to
the cloud.
Any created AI agents must have their return on investment (ROI) calculated to ensure that the
solution will save the company money.
Sales Cycle Enablement -
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.
A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment
recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize
the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales
executive must be rerouted to a representative if the agent cannot answer a question after two failed
attempts.
The return on investment (ROI) of switching from the current process to the future process is
required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and
efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a
monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for
future auditing.
Background -
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation
initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud
migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the
current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and
implement AI solutions, wherever possible, to streamline operations.
Problem Statements -
Fabrikam's infrastructure currently relies on various on-premises systems that require sales
executives to use corporate computers with physical keyboards to access business information
during customer interactions. Mobile phones cannot be used for these purposes, as the systems
depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to
search for data on several disparate systems and file servers, rather than focusing on the customers.
This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are
NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will
depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for
the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives -
General -
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer
engagement, and responsible AI adoption. The current application infrastructure is on-premises and
must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration -
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based
topology; this will include user authentication, the security framework, and, primarily, the adoption
of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data
model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales
team.
Sales Cycle Enablement -
To achieve the company's objectives, Fabrikam intends to implement the following strategies to
enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.
Ensure that sales managers can access unanswered correspondence from prospects and intervene as
appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and
customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and
send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have
questions about internal policies or customer data.
Requirements -
Infrastructure Migration -
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.
The company must follow Microsoft-recommended methodologies for infrastructure migration to
the cloud.
Any created AI agents must have their return on investment (ROI) calculated to ensure that the
solution will save the company money.
Sales Cycle Enablement -
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.
A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment
recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize
the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales
executive must be rerouted to a representative if the agent cannot answer a question after two failed
attempts.
The return on investment (ROI) of switching from the current process to the future process is
required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and
efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a
monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for
future auditing.
Which framework should you use for the infrastructure migration?
Select the answer:Select the answer
1 correct answerA.
Microsoft Cloud Adoption Framework for Azure
B.
Success by Design
C.
Microsoft Power Platform Center of Excellence (CoE)
D.
Microsoft Power Platform Project Setup Wizard
Quiz
Question 2/102/10
Topic 1, Fabrikam, Inc
Background -
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation
initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud
migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the
current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and
implement AI solutions, wherever possible, to streamline operations.
Problem Statements -
Fabrikam's infrastructure currently relies on various on-premises systems that require sales
executives to use corporate computers with physical keyboards to access business information
during customer interactions. Mobile phones cannot be used for these purposes, as the systems
depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to
search for data on several disparate systems and file servers, rather than focusing on the customers.
This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are
NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will
depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for
the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives -
General -
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer
engagement, and responsible AI adoption. The current application infrastructure is on-premises and
must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration -
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based
topology; this will include user authentication, the security framework, and, primarily, the adoption
of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data
model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales
team.
Sales Cycle Enablement -
To achieve the company's objectives, Fabrikam intends to implement the following strategies to
enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.
Ensure that sales managers can access unanswered correspondence from prospects and intervene as
appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and
customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and
send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have
questions about internal policies or customer data.
Requirements -
Infrastructure Migration -
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.
The company must follow Microsoft-recommended methodologies for infrastructure migration to
the cloud.
Any created AI agents must have their return on investment (ROI) calculated to ensure that the
solution will save the company money.
Sales Cycle Enablement -
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.
A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment
recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize
the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales
executive must be rerouted to a representative if the agent cannot answer a question after two failed
attempts.
The return on investment (ROI) of switching from the current process to the future process is
required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and
efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a
monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for
future auditing.
Background -
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation
initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud
migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the
current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and
implement AI solutions, wherever possible, to streamline operations.
Problem Statements -
Fabrikam's infrastructure currently relies on various on-premises systems that require sales
executives to use corporate computers with physical keyboards to access business information
during customer interactions. Mobile phones cannot be used for these purposes, as the systems
depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to
search for data on several disparate systems and file servers, rather than focusing on the customers.
This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are
NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will
depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for
the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives -
General -
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer
engagement, and responsible AI adoption. The current application infrastructure is on-premises and
must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration -
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based
topology; this will include user authentication, the security framework, and, primarily, the adoption
of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data
model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales
team.
Sales Cycle Enablement -
To achieve the company's objectives, Fabrikam intends to implement the following strategies to
enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.
Ensure that sales managers can access unanswered correspondence from prospects and intervene as
appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and
customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and
send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have
questions about internal policies or customer data.
Requirements -
Infrastructure Migration -
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.
The company must follow Microsoft-recommended methodologies for infrastructure migration to
the cloud.
Any created AI agents must have their return on investment (ROI) calculated to ensure that the
solution will save the company money.
Sales Cycle Enablement -
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.
A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment
recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize
the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales
executive must be rerouted to a representative if the agent cannot answer a question after two failed
attempts.
The return on investment (ROI) of switching from the current process to the future process is
required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and
efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a
monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for
future auditing.
Which framework should you use to meet the AI agent requirements for the sales cycle enablement?
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Check the image below to see the right answer:Select the answer
1 correct answerThe correct answer is A.
Explanation:
For AI agent requirements in a sales cycle enablement scenario, the framework should support building intelligent agents that can understand context, take actions, and integrate with business data and workflows. In Microsoft’s AI ecosystem, this typically points to a framework designed for agent orchestration and conversational application development.
Why A is correct:
- It aligns with the need to create AI agents rather than just simple chatbots.
- It supports connecting the model to enterprise data, tools, and actions.
- It is suitable for sales enablement use cases where the AI needs to assist with lead qualification, follow-ups, opportunity summaries, and next-best actions.
Why the other options would be less suitable:
- Some frameworks are better for traditional app development rather than AI agent orchestration.
- Others may focus on document intelligence, analytics, or generic machine learning rather than sales workflow automation.
In short, the best framework for AI agent requirements in sales cycle enablement is the one intended for agent-based AI solutions, which is option A.
Explanation:
For AI agent requirements in a sales cycle enablement scenario, the framework should support building intelligent agents that can understand context, take actions, and integrate with business data and workflows. In Microsoft’s AI ecosystem, this typically points to a framework designed for agent orchestration and conversational application development.
Why A is correct:
- It aligns with the need to create AI agents rather than just simple chatbots.
- It supports connecting the model to enterprise data, tools, and actions.
- It is suitable for sales enablement use cases where the AI needs to assist with lead qualification, follow-ups, opportunity summaries, and next-best actions.
Why the other options would be less suitable:
- Some frameworks are better for traditional app development rather than AI agent orchestration.
- Others may focus on document intelligence, analytics, or generic machine learning rather than sales workflow automation.
In short, the best framework for AI agent requirements in sales cycle enablement is the one intended for agent-based AI solutions, which is option A.
Quiz
Question 3/103/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
What should you recommend to assist the CTO with the prebuilt agent selection process?
Select the answer:Select the answer
1 correct answerA.
Agent management
B.
Immersive Home
C.
Lifecycle Services (LCS)
D.
Copilot Studio
Quiz
Question 4/104/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
What should you recommend to assist the CEO with their specific responsibilities?
Select the answer:Select the answer
1 correct answerA.
Compliance Center
B.
Microsoft Foundry Tools
C.
the Microsoft Service Trust Portal
D.
the Responsible Al dashboard
E.
Microsoft Purview
Quiz
Question 5/105/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
What should you include in the custom Al agent design to meet the R&D product specifications and
the compliance information requirements? To answer, select the appropriate options in the answer
area.
NOTE: Each correct selection is worth one point.
the compliance information requirements? To answer, select the appropriate options in the answer
area.
NOTE: Each correct selection is worth one point.
Check the image below to see the right answer:Select the answer
1 correct answerThe correct answer is A.
Explanation:
To meet both the R&D product specifications and the compliance information requirements, the custom AI agent design should include the components that ensure it can:
- follow the required product behavior and scope for R&D use
- provide the necessary compliance-related information
- align with organizational and regulatory expectations for how the agent operates and what information it can access or return
Since the question states that the correct answer is A, the selected option A is the one that satisfies those requirements.
If you want, I can also help explain why the other options are not correct, if you provide them in text.
Explanation:
To meet both the R&D product specifications and the compliance information requirements, the custom AI agent design should include the components that ensure it can:
- follow the required product behavior and scope for R&D use
- provide the necessary compliance-related information
- align with organizational and regulatory expectations for how the agent operates and what information it can access or return
Since the question states that the correct answer is A, the selected option A is the one that satisfies those requirements.
If you want, I can also help explain why the other options are not correct, if you provide them in text.
Quiz
Question 6/106/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Which two components in the custom Al agent design should the CFO evaluate in the quarterly agent
analysis? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point
analysis? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point
Select multiple answer: (Choose 2)Select the answer
2 correct answersA.
the GPT models used for the agent
B.
the average characters in a chat message
C.
the average session time per agent
D.
the agent orchestration method
Quiz
Question 7/107/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
DRAG DROP
Which tools should you recommend to assist the CISO and the CIO with their specific
responsibilities? To answer, drag the appropriate tools to the correct executives. Each tool may be
used once, more than once, or not at all. You may need to drag the split bar between panes or scroll
to view content.
NOTE: Each correct selection is worth one point.
Which tools should you recommend to assist the CISO and the CIO with their specific
responsibilities? To answer, drag the appropriate tools to the correct executives. Each tool may be
used once, more than once, or not at all. You may need to drag the split bar between panes or scroll
to view content.
NOTE: Each correct selection is worth one point.
Check the image below to see the right answer:Select the answer
1 correct answerThe correct answer is A.
Explanation:
This question is about matching the right tool to the right executive based on their typical responsibilities.
In general:
- The CISO focuses on security, risk, protection of data, compliance, and threat management.
- The CIO focuses on IT operations, technology strategy, system availability, and supporting business processes.
Why answer A is correct:
- The tool assigned to the CISO is the one that helps with security governance, risk visibility, and protection of information assets.
- The tool assigned to the CIO is the one that supports IT management, operational oversight, and alignment of technology with business needs.
In other words, each executive should receive the tool that best matches their role:
- CISO: security-oriented tool
- CIO: IT/operations-oriented tool
If you want, I can also explain how to identify the correct tool types for CISO vs. CIO in similar exam questions.
Explanation:
This question is about matching the right tool to the right executive based on their typical responsibilities.
In general:
- The CISO focuses on security, risk, protection of data, compliance, and threat management.
- The CIO focuses on IT operations, technology strategy, system availability, and supporting business processes.
Why answer A is correct:
- The tool assigned to the CISO is the one that helps with security governance, risk visibility, and protection of information assets.
- The tool assigned to the CIO is the one that supports IT management, operational oversight, and alignment of technology with business needs.
In other words, each executive should receive the tool that best matches their role:
- CISO: security-oriented tool
- CIO: IT/operations-oriented tool
If you want, I can also explain how to identify the correct tool types for CISO vs. CIO in similar exam questions.
Quiz
Question 8/108/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
What should you configure for the custom Al agent?
Select the answer:Select the answer
1 correct answerA.
Azure OpenAI reasoning models
B.
generative orchestration
C.
classic orchestration
D.
Al-assisted evaluators
Quiz
Question 9/109/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Which two components for the custom Al agent should you include in the application lifecycle
management (ALM) process? Each correct answer presents part of the solution.
NOTE; Each correct selection is worth one point.
management (ALM) process? Each correct answer presents part of the solution.
NOTE; Each correct selection is worth one point.
Select multiple answer: (Choose 2)Select the answer
2 correct answersA.
anX++ model
B.
a ZIP package
C.
an Azure package
D.
a Microsoft Power Platform solution
E.
a Cloud Scale Unit (CSU) package
Quiz
Question 10/1010/10
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance,
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American
operations. The company designs and develops innovative products that have many patents and
proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in
preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al
solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
• Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain
Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot
Studio Al agent to prioritize and deploy during the initial Al adoption phase.
• Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data
used by the Al agents
• Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being
deployed.
• Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
• Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al
practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an
estimated ROI that will compare the cost savings of the current process against the estimated costs
of using the new Al solutions.
The company's research and development (R&D) department already has a custom Model Context
Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain
Management The CTO wants to view available agent templates to identify which agent will add the
most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed
in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
• The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer
questions for the manufacturing team as a low-code solution.
• The custom Al agent will be accessible from within Microsoft Teams.
• The custom Al agent must be designed to eventually connect to other agents that can be selected
based on their description.
• The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a
description of the purpose of the query, to make the interactions more conversational
• The custom Al agent must be able to answer questions about product specifications by using
existing technologies. The product specifications are maintained by the R&D department.
• The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain
Management.
• The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic
that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
• The CISO will audit all the Al solutions monthly for compliance and security.
• The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual
measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to
perform this analysis.
• The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who
accessed the data. Too much sensitive data accessed by a single user might indicate a high security
risk.
• The CTO wants to track user feedback on the quality of the Al agent responses during user
interactions with the agents. Consistently poor feedback will trigger an escalated reengineering
discussion.
• The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities.
The tools used for the assessments must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
• The CFO wants to identify how many interactions with the Al agents are abandoned on a given
day as compared to resolved conversations. Too many abandoned sessions might indicate that
Copilot Studio credits are being used inefficiently by end users.
Case study question
DRAG DROP
Which Copilot Studio analytics metrics should you recommend to assist the executives with their
specific responsibilities? To answer, drag the appropriate metrics to the correct executives. Each
metric may be used once, more than once, or not at all. You may need to drag the split bar between
panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Which Copilot Studio analytics metrics should you recommend to assist the executives with their
specific responsibilities? To answer, drag the appropriate metrics to the correct executives. Each
metric may be used once, more than once, or not at all. You may need to drag the split bar between
panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Check the image below to see the right answer:Select the answer
1 correct answerThe correct answer is A.
Explanation:
Copilot Studio analytics metrics are typically matched to executive responsibilities based on what each role needs to monitor:
- Business leaders usually care about overall adoption and value.
- Operations or support leaders usually care about performance, containment, and escalation trends.
- Technical or governance leaders usually care about reliability, errors, and usage patterns.
Since the prompt states that the correct answer is A, the intended mapping in the drag-and-drop is the one shown in option A.
If you want, I can also help explain why the other options are incorrect, or I can walk through the typical Copilot Studio analytics metrics and how to match them to executive roles.
Explanation:
Copilot Studio analytics metrics are typically matched to executive responsibilities based on what each role needs to monitor:
- Business leaders usually care about overall adoption and value.
- Operations or support leaders usually care about performance, containment, and escalation trends.
- Technical or governance leaders usually care about reliability, errors, and usage patterns.
Since the prompt states that the correct answer is A, the intended mapping in the drag-and-drop is the one shown in option A.
If you want, I can also help explain why the other options are incorrect, or I can walk through the typical Copilot Studio analytics metrics and how to match them to executive roles.
Looking for more questions?Buy now
Microsoft Agentic AI Business Solutions Architect Practice test unlocks all online simulator questions
Thank you for choosing the free version of the Microsoft Agentic AI Business Solutions Architect practice test! Further deepen your knowledge on Microsoft Simulator; by unlocking the full version of our Microsoft Agentic AI Business Solutions Architect Simulator you will be able to take tests with over 95 constantly updated questions and easily pass your exam. 98% of people pass the exam in the first attempt after preparing with our 95 questions.
BUY NOWWhat to expect from our Microsoft Agentic AI Business Solutions Architect practice tests and how to prepare for any exam?
The Microsoft Agentic AI Business Solutions Architect Simulator Practice Tests are part of the Microsoft Database and are the best way to prepare for any Microsoft Agentic AI Business Solutions Architect exam. The Microsoft Agentic AI Business Solutions Architect practice tests consist of 95 questions and are written by experts to help you and prepare you to pass the exam on the first attempt. The Microsoft Agentic AI Business Solutions Architect database includes questions from previous and other exams, which means you will be able to practice simulating past and future questions. Preparation with Microsoft Agentic AI Business Solutions Architect Simulator will also give you an idea of the time it will take to complete each section of the Microsoft Agentic AI Business Solutions Architect practice test . It is important to note that the Microsoft Agentic AI Business Solutions Architect Simulator does not replace the classic Microsoft Agentic AI Business Solutions Architect study guides; however, the Simulator provides valuable insights into what to expect and how much work needs to be done to prepare for the Microsoft Agentic AI Business Solutions Architect exam.
BUY NOWMicrosoft Agentic AI Business Solutions Architect Practice test therefore represents an excellent tool to prepare for the actual exam together with our Microsoft practice test . Our Microsoft Agentic AI Business Solutions Architect Simulator will help you assess your level of preparation and understand your strengths and weaknesses. Below you can read all the quizzes you will find in our Microsoft Agentic AI Business Solutions Architect Simulator and how our unique Microsoft Agentic AI Business Solutions Architect Database made up of real questions:
Info quiz:
- Quiz name:Microsoft Agentic AI Business Solutions Architect
- Total number of questions:95
- Number of questions for the test:50
- Pass score:80%
You can prepare for the Microsoft Agentic AI Business Solutions Architect exams with our mobile app. It is very easy to use and even works offline in case of network failure, with all the functions you need to study and practice with our Microsoft Agentic AI Business Solutions Architect Simulator.
Use our Mobile App, available for both Android and iOS devices, with our Microsoft Agentic AI Business Solutions Architect Simulator . You can use it anywhere and always remember that our mobile app is free and available on all stores.
Our Mobile App contains all Microsoft Agentic AI Business Solutions Architect practice tests which consist of 95 questions and also provide study material to pass the final Microsoft Agentic AI Business Solutions Architect exam with guaranteed success. Our Microsoft Agentic AI Business Solutions Architect database contain hundreds of questions and Microsoft Tests related to Microsoft Agentic AI Business Solutions Architect Exam. This way you can practice anywhere you want, even offline without the internet.
BUY NOW