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Guide for Cognitive project management in AI

Quiz Cognitive project management in AI

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/ 10

Quiz

1/10
An AI project team is assessing the scalability of a healthcare solution. Which factor should the
project manager consider to help ensure the solution is scalable?
Select the answer
1 correct answer
A.
Compliance with data regulations
B.
Ability to handle increased loads
C.
Human oversight requirements
D.
Integration with the existing infrastructure

Quiz

2/10
In a clustering analysis for data use, the project team finds that the clusters are not meaningful and
do not provide actionable insights. Which activity should the project manager do with the project
team?
Select the answer
1 correct answer
A.
Assess the trade-offs of the various algorithms.
B.
Establish data governance protocols.
C.
Identify the data gaps and address deficiencies.
D.
Conduct an algorithm analysis on the data sources.

Quiz

3/10
A government agency plans to increase personalization of their AI public services platform. The
agency is concerned that the personal information may be hacked.
Which action should occur to achieve the agency’s goals?
Select the answer
1 correct answer
A.
Standardize service protocols to deliver services for reliability.
B.
Educate employees on new technologies so they can help users.
C.
Develop user-friendly interfaces which are tested by users.
D.
Enhance data privacy to increase user trust and confidence.

Quiz

4/10
Doctors have been utilizing a sophisticated AI-driven cognitive solution to help with diagnosing
illnesses. The AI system is integrated with several medical databases. This allowed the AI system to
learn from new patient data and adapt to the latest medical knowledge and practices. The final
project report indicated that the AI model had degraded over time, impacting reliability and
effectiveness. The AI system must comply with healthcare regulations from various countries.
What is the likely cause for the degradation issue?
Select the answer
1 correct answer
A.
Data drift affecting model precision
B.
Changes in business model requirements
C.
Inadequate initial model validation
D.
Impact of data drift on model accuracy

Quiz

5/10
A company needs to launch an AI application quickly to be the first to the market. The project team
has decided to use pretrained models for their current AI project iteration.
What is a key result of leveraging pretrained models?
Select the answer
1 correct answer
A.
The team can see a reduction in the overall project timeline.
B.
The team can encounter compatibility issues with existing systems.
C.
The custom project development time can increase due to adjustments.
D.
The project can face unexpected scalability challenges.

Quiz

6/10
A consulting firm is preparing data for an AI-driven customer segmentation model. They need to
verify data quality before data preparation.
What should the project manager do first?
Select the answer
1 correct answer
A.
Assess data completeness.
B.
Implement data enhancement.
C.
Conduct data cleaning.
D.
Apply data labeling techniques.

Quiz

7/10
An organization is planning their digital transformation initiatives by building an AI solution to focus
on data-collection needs. The goal is to reduce the manual handling of data.
Which approach should be prioritized to achieve the objective?
Select the answer
1 correct answer
A.
Outsourcing data-processing tasks to third-party vendors
B.
Implementing intelligent systems that can autonomously process and analyze data
C.
Enhancing the current database infrastructure to handle larger volumes of data
D.
Upgrading cloud storage solutions for better data management

Quiz

8/10
After implementing an iteration of an Al solution, the project manager realizes that the system is not
scalable due to high maintenance requirements. What is an effective
way to address this issue?
Select the answer
1 correct answer
A.
Switch to a rule-based system to reduce maintenance complexity.
B.
Incorporate a generative Al approach to streamline model updates.
C.
Adopt a modular architecture to isolate different system components.
D.
Utilize cloud-based solutions to enhance maintenance scalability.

Quiz

9/10
A project manager is preparing a contingency plan for an Al-driven customer service platform. They
need to determine an effective strategy to handle potential system downtimes.
Which strategy addresses the project manager's objective?
Select the answer
1 correct answer
A.
Creating a robust customer service logging system to quickly identify and resolve issues
B.
Implementing a manual override system for critical customer queries
C.
Developing an automated fallback chatbot with limited capabilities
D.
Providing extensive training to customer service representatives on handling Al failures

Quiz

10/10
During the evaluation of an AI solution, the project team notices an unexpected decline in model
performance. The model was previously achieving high accuracy but has recently shown increased
error rates.
Which action will identify the cause of the performance decline?
Select the answer
1 correct answer
A.
Reviewing recent changes made to the model's architecture and parameters
B.
Checking for issues in the data preprocessing pipeline that may have introduced noise
C.
Increasing the amount of regularization to prevent overfitting
D.
Analyzing the distribution of real-world data for potential shifts
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  • Quiz name:Cognitive project management in AI
  • Total number of questions:102
  • Number of questions for the test:50
  • Pass score:80%

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