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Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:

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

2. You train models on GPU-enabled clusters but deploy them on CPU-based endpoints. Recently, inference failures occur due to incompatible dependencies. What should you do to ensure consistency?

A) Use same compute for training and inference
B) Define and reuse environment configurations
C) Use batch endpoints
D) Increase endpoint compute size

3. A pipeline step fails intermittently due to transient compute issues. You need to improve reliability without modifying core logic or increasing cost significantly. What is the BEST approach?

A) Enable retry policy on pipeline step
B) Remove failing step
C) Run pipeline manually
D) Increase compute size

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

5. Drag and Drop Question
A company plans to deploy a foundation model in Microsoft Foundry.
The mode must support the following workloads:
- A customer support workload used across multiple regions
- A marketing workload that must remain within a specific region due to data residency requirements You need to select the deployment type.
Which deployment type should you use for each workload? To answer, move the appropriate deployment types to the correct requirements. You may use each deployment type once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Solutions: