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Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
1. You are developing an AI search API that caches semantic search results in Redis.
Search results must remain cached for 10 minutes. If the underlying data changes, cached entries must NOT be returned.
You need to implement a cache-aside strategy to ensure data consistency.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Delete related cache keys when the source data changes.
B) Implement sliding expiration based on key access.
C) Configure a cache notification for key space events.
D) Configure a 10-minute Time to Live on each key.
2. You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?
A) Environment variables in local.settings.json
B) Application settings with Key Vault references
C) Parameter file stored in source control
D) Hard-coded connection string in the startup class
3. 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) Chunk documents into smaller overlapping segments before embedding
B) Convert documents to images and use image embeddings
C) Use only document titles for embedding
D) Embed each entire document as a single vector
4. Hotspot Question
You plan to develop an Azure Functions app with an HTTP trigger.
The app must support the following functionality:
- Event-driven scaling
- Ability to use custom Linux images for function execution
You need to identify the app's hosting plan and the maximum amount of time that the app function can take to respond to incoming requests.
Which configuration setting values should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.
5. 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) Use managed identity for both App Configuration and Key Vault access.
C) Use a service principal secret for both App Configuration and Key Vault access.
D) Store API keys in Key Vault.
E) Allow configuration updates with a polling interval.
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: Only visible for members | Question # 5 Answer: B,D,E |
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