Microsoft AI-200 Exam : 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:

1. Hotspot Question
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
- Enable and maintain a single URL for the updated microservice to
provide to test users.
- Update the microservice that corresponds to the current microservice
version.
You need to configure Azure Container Apps.
Which features should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. An application performs similarity search across 5 million embeddings stored in Azure Database for PostgreSQL with pgvector. Queries often filter by department before ranking by cosine distance.
P95 latency for vector similarity queries exceeds the SLA target. Monitoring shows sustained high CPU use during query execution.
You need to reduce P95 latency for filtered vector similarity queries.
What should you do?

A) Create B-tree indexes on frequently filtered metadata columns.
B) Increase statement timeout.
C) Increase embedding dimensionality.
D) Store embeddings as JSON.

3. Hotspot Question
You are reviewing the message-processing code in a backend worker service.
You review the following Python code that initializes and starts a Service Bus processor.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

4. You have an Event Grid subscription that triggers an Azure Function.
You need to prevent loss of events in case the endpoint returns an HTTP 400 response.
Which action should you perform?

A) Configure a dead-letter destination.
B) Implement asynchronous handshake validation.
C) Implement optimistic batching.
D) Configure a retry policy.

5. You store embeddings in a property named embedding in an Azure Cosmos DB for NoSQL container.
You must retrieve the five most similar documents to an input embedding.
You need to construct the similarity query.
What should you do?

A) Enforce strong consistency.
B) Limit the number of results.
C) Group by embedding value.
D) Use offset pagination.

Solutions: