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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Hotspot Question
You deploy a private container image from Azure Container Registry (ACR) to App Service.
App Service must authenticate to ACR to pull the image.
The solution must NOT store static registry credentials.
You need to configure the secure image pull authentication.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. You must ensure an Azure OpenAI-powered application never exceeds a defined token-per- minute budget across all users to avoid runaway costs. What should you configure?

A) Deployment-level rate limits (TPM/RPM) in Azure AI Foundry
B) A vector index size limit in Azure AI Search
C) Content filtering severity levels
D) Model temperature

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

4. An AI platform uses App Configuration for feature flags and endpoint routing.
The platform stores secrets alongside configuration data and does NOT support dynamic refresh.
The solution must support dynamic configuration refresh while ensuring that secrets are NOT stored in App Configuration.
You need to enable secure dynamic configuration management for the platform.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Store configuration values in environment variables.
B) Store API keys in Key Vault.
C) Allow configuration updates with a polling interval.
D) Use a service principal secret for both App Configuration and Key Vault access.
E) Use managed identity for both App Configuration and Key Vault access.

5. You are choosing an embedding strategy for a RAG solution. Documents range from 2 to 200 pages. You need to preserve semantic coherence while staying within embedding model token limits. What should you do?

A) Use only document titles for embedding
B) Convert documents to images and use image embeddings
C) Chunk documents into smaller overlapping segments before embedding
D) Embed each entire document as a single vector

Solutions: