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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. An ACA app processes messages from an Azure Storage queue.
The app must scale automatically based on messages in a specific Azure Storage queue by using a Kubernetes Event-driven Autoscaler (KEDA) custom scale rule.
You need to configure the required scale rule values.
Which two values should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Queue name
B) Polling interval
C) Maximum replicas
D) Trigger type

2. You deploy an AI application across multiple Azure regions.
The application must be able to view writes across all regions within a predictable time window.
You need to determine the appropriate consistency level.
What are two consistency levels you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A) Eventual
B) Strong
C) Bounded staleness
D) Session

3. You are designing an Azure Function that will process orders from a new Azure Service Bus queue.
You need to prevent the system from processing messages more than once and preserve failed messages for investigation.
Which two actions should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Include a dead-letter handling process.
B) Enable sessions on Service Bus.
C) Process orders by using an HTTP trigger.
D) Enable duplicate detection on the queue.

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

5. Drag and Drop Question
A Python API retrieves a document from Azure Database for PostgreSQL by using a SQL statement. The API accepts the document ID from user input. The current implementation inserts the document ID directly into the SQL statement.
You need to secure the SQL statement execution by minimizing the possibility of SQL injection.
How should you modify the current implementation? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Solutions: