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Guide for AI-300: Microsoft Operationalizing Machine Learning and Generative AI Solutions

Quiz AI-300: Microsoft Operationalizing Machine Learning and Generative AI Solutions

Free Test
/ 10

Quiz

1/10
You need to standardize how Fabrikam Inc. manages machine learning assets.
Which action should you perform first?
OPTIONS :
Select the answer
1 correct answer
A.
Register assets in the Azure Machine Learning registry.
B.
Create a shared Azure Machine Learning workspace.
C.
Deploy a managed online endpoint.
D.
Create a new Microsoft Foundry project. Answer : B

Quiz

2/10
You need to isolate training workloads while remaining cost-aware to address Fabrikam Inc.’s issues,
constraints, and technical requirements.
What should you implement?
OPTIONS :
Select the answer
1 correct answer
A.
Training jobs that run on a single shared compute cluster
B.
Fixed-size compute cluster
C.
Dedicated compute clusters per experiment
D.
Managed compute targets with autoscaling Answer : D

Quiz

3/10
You need to recommend an experiment-tracking strategy that ensures consistent experiment results.
What should you recommend?
OPTIONS :
Select the answer
1 correct answer
A.
Azure Machine Learning job output logs
B.
MLflow experiment tracking
C.
Application Insights logs
D.
Azure Monitor alerts Answer : B

Quiz

4/10
A team trains an MLflow model that scores customer churn risk. The model will be consumed by
different downstream systems.
One system requests predictions synchronously during customer interactions.
Another system submits files containing millions of records for scheduled scoring.
You need to deploy the model by using managed inference options that match each usage pattern.
Which option should you use for each usage pattern? To answer, select the appropriate options in


the answer area. NOTE: Each correct selection is worth one point.

Certification Exam AI-300: Microsoft Operationalizing Machine Learning and Generative AI Solutions Microsoft Microsoft-AI-300 1-2537514314

OPTIONS :
Select the answer
1 correct answer
See the Explanation. Answer : A EXPLANATION : Certification Exam AI-300: Microsoft Operationalizing Machine Learning and Generative AI Solutions Microsoft Microsoft-AI-300 2-783835664

Quiz

5/10
You manage an Azure Machine learning workspace. You develop a machine learning model.
You must deploy the model to use a low-priority VM with a pricing discount.
You need to deploy the model.
Which compute target should you use?
OPTIONS :
Select the answer
1 correct answer
A.
Azure Container Instances (ACI)
B.
Azure Machine Learning compute clusters
C.
Local deployment
D.
Azure Kubernetes Service (AKS) Answer : B

Quiz

6/10
A team manages an Azure Machine Learning workspace where they deploy models to online
endpoints.
The team needs to introduce a new version of a model to production without disrupting existing
users.
The team must validate the new version before full rollout.
You need to reduce risk during deployment.
What should you do?
OPTIONS :
Select the answer
1 correct answer
A.
Deploy the model to a batch endpoint.
B.
Split traffic between deployments.
C.
Replace the existing endpoint.
D.
Route all traffic to the new deployment. Answer : B

Quiz

7/10
You have a deployment of an Azure OpenAI Service base model.
You plan to fine-tune the model.
You need to prepare a file that contains training data.
Which file format should you use?
OPTIONS :
Select the answer
1 correct answer
A.
CSV
B.
TSV
C.
JSONL
D.
JSON Answer : C

Quiz

8/10
You have a deployment of an Azure OpenAI Service base model.
You plan to fine-tune the model.
You need to prepare a file that contains training data for multi-turn chat.
Which file encoding method should you use?
OPTIONS :
Select the answer
1 correct answer
A.
ISO-8859-1
B.
UTF-16
C.
UTF-8
D.
ASCII Answer : C

Quiz

9/10
You are fine-tuning a base language model to analyze customer feedback.
You label examples of support tickets. You must improve classification accuracy by configuring and
fine-tuning the base model in Microsoft Foundry.
You need to configure and run fine-tuning.
What should you do first?
OPTIONS :
Select the answer
1 correct answer
A.
Use prompt flow to generate multiple prompt templates for evaluation.
B.
Deploy the base model to an online endpoint before starting fine-tuning.
C.
Enable tracing for all inference calls in the evaluation pipeline.
D.
Format the dataset as a JSONL file with prompt-completion pairs and upload the file. Answer : D

Quiz

10/10
A team is working in Microsoft Foundry to test and compare large language model (LLM) prompt
variants in a development environment.
The team requires consistent inputs to evaluate prompt variants without relying on live user traffic.
You need to create a controlled evaluation of input data.
Which action should you perform first?
OPTIONS :
Select the answer
1 correct answer
A.
Generate synthetic interaction data.
B.
Configure content filters.
C.
Apply a blocklist.
D.
Enable observability metrics. Answer : A
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Info quiz:

  • Quiz name:AI-300: Microsoft Operationalizing Machine Learning and Generative AI Solutions
  • Total number of questions:181
  • Number of questions for the test:50
  • Pass score:80%

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