Microsoft AI-200 : Developing AI Cloud Solutions on Azure

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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question #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. Choose two NOTE: Each correct selection is worth one point.

A. Configure a 10-minute Time to Live on each key.
B. Delete related cache keys when the source data changes
C. Configure a cache notification for key space events.
D. Implement sliding expiration based on key access.

Question #2
You are implementing an Azure solution that uses Azure Cosmos DB and the latest Azure Cosmos DB SDK.
You add a change feed processor to a new container instance.
You attempt to read a batch of 100 documents. The process fails when reading one of the documents. The solution must monitor the progress of the change feed processor instance on the new container as the change feed is read. You must prevent the change feed processor from retrying the entire batch when one document cannot be read.
You need to implement the change feed processor to read the documents.
Which features should you use? To answer, move the appropriate features to the correct requirements. Each feature may be used 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.

Question #3
You are implementing semantic retrieval for a chatbot.
Embeddings are already stored in Redis. However, vector similarity queries do not return matches.
You need to resolve the vector similarity search issue.
What should you do?

A. Reset expiration on each read.
B. Set a 24-hour Time to Live (TTL) on embedding keys.
C. Create an HNSW vector index on the embedding field.
D. Enable geo-replication.

Question #4
You optimize an AI inference API that uses Redis caching.
You must reduce the risk of serving outdated data while minimizing cache management overhead. You need to implement the caching strategy that satisfies the requirements. What should you do?

A. Reset expiration on each read.
B. Trigger invalidation when source data changes
C. Set eviction policy to allkeys-lru.
D. Disable expiration for cache keys.

Question #5
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. Parameter file stored in source control
B. Application settings with Key Vault references
C. Environment variables in local.settings.json
D. Hard coded connection string in the startup class

Solutions: