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Microsoft AI-300 Exam Syllabus Topics:

Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:

1. Drag and Drop Question
A team deploys a generative AI application that uses a model deployed in Microsoft Foundry. The application must support latency monitoring under production load.
You need to enable performance observability.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

2. Your ML pipeline contains independent feature engineering steps that currently execute sequentially, increasing overall runtime. You want to optimize execution without modifying logic.
What is the BEST solution?

A) Combine all steps
B) Enable parallel step execution
C) Increase compute size
D) Reduce dataset size

3. A team deploys a model to a real-time endpoint in Azure Machine Learning. You deploy some updates to the endpoint.
The endpoint returns errors after the new deployment is released.
You need to restore the service as quickly as possible.
What should you do first?

A) Delete the endpoint and immediately redeploy it.
B) Change the authentication type to Azure Machine Learning token-based authentication.
C) Roll back traffic to the previous deployment.
D) Increase the compute size.

4. A team provisions an Azure Machine Learning environment by triggering pull requests.
Deployments must be automated, auditable, and require approval before running.
You need to select a deployment automation tool.
Which tool should you use?

A) Azure Monitor
B) Azure Machine Learning pipelines
C) GitHub Actions
D) MLflow

5. You run Azure Machine Learning training experiments. The training scripts directory contains 100 files that includes a file named .amlignore. The directory also contains subdirectories named ./outputs and ./logs.
There are 20 files in the training scripts directory that must be excluded from the snapshot to the compute targets. You create a file named .gitignore in the root of the directory. You add the names of the 20 files to the .gitignore file. These 20 files continue to be copied to the compute targets.
You need to exclude the 20 files.
What should you do?

A) Move the file named .gitignore to the ./logs directory.
B) Copy the contents of the file named .gitignore to the file named .amlignore.
C) Move the file named .gitignore to the ./outputs directory.
D) Add the contents of the file named .amlignore to the file named .gitignore.

Solutions: