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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. A development team wants to compare multiple prompt variations against the same test dataset and visualize which prompt performs best. What should they use in Azure AI Foundry?

A) Speech Studio custom voice
B) Model deployment quota management
C) Prompt flow with variants
D) Azure AI Search indexers

2. You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?

A) Defer
B) Dead-letter
C) Abandon
D) Complete

3. You deploy a GPT-4o model in Azure AI Foundry. Users report inconsistent completions for the same prompt. You need to make outputs more deterministic without changing the prompt. What should you do?

A) Set temperature to a low value such as 0
B) Enable content filtering
C) Increase the max_tokens parameter
D) Increase the top_p parameter

4. You maintain multiple versions of a container image in Azure Container Registry.
The production deployment must always run the exact same image build even if tags are changed later.
You need to ensure predictable and immutable image selection during deployment.
What should you do?

A) Identify the image by using its SHA digest.
B) Tag the image as production and deploy it by using the production tag.
C) Configure deployment to use the latest tag.
D) Schedule nightly rebuilds of the image.

5. You store embeddings in Redis by using keys formatted as doc:(id). Some embeddings are accessed frequently. Others are rarely used.
You need to implement a caching strategy that keeps only frequently accessed embeddings in memory.
What should you use?

A) EXPIRE command
B) volatile-ttl
C) allkeys-lru
D) time-window expiration

Solutions: