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Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:

1. A company's platform engineers manage the resource settings and governance of Microsoft Foundry.
Developers must be able to create and update project assets but must not be able to change resource-level configurations.
You need to enforce least privilege access for the engineers and developers.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.

A) Disable Microsoft Entra ID authentication for the Microsoft Foundry resource.
B) Assign a resource-level Azure AI Administrator role to the platform engineers.
C) Assign the Azure AI Developer role to the developers.
D) Share a single API key across all teams.

2. 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.

3. A company requires that only models meeting predefined performance thresholds are registered and deployed. The solution must be fully automated within the ML workflow. What should you implement?

A) Azure Monitor alerts
B) Manual approval gate
C) GitHub pull request checks
D) Conditional logic in pipeline

4. 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) Reduce dataset size
C) Increase compute size
D) Enable parallel step execution

5. You need to run large-scale inference jobs on millions of records periodically. Jobs are not latency-sensitive but must be cost-efficient and scalable. Which deployment option is MOST appropriate?

A) Managed online endpoint
B) Notebook execution
C) Batch endpoint
D) Local endpoint

Solutions: