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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question 1

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. Enable geo-replication.
B. Create a FLAT vector index on the embedding field.
C. Configure a metadata-only secondary index.
D. Set a 24-hour Time to Live (TTL) on embedding keys.

Question 2

Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?

A. Summarize older turns and retain recent turns verbatim
B. Truncate all history after 2 turns
C. Increase max_tokens for output only
D. Store history only in the client and never send it to the model

Question 3

You store embeddings in Redis by using keys formatted as doc:(id). Some embeddings are accessed frequently. Others are rarely used.
You need to implement a caching strategy that keeps only frequently accessed embeddings in memory.
What should you use?

A. volatile-ttl
B. allkeys-lru
C. time-window expiration
D. EXPIRE command

Question 4

Hotspot Question
You have an Azure Service Bus namespace that contains a topic named Topic1.
You plan to create a subscription named Sub1 to Topic1. In Sub1, you plan to filter messages from Topic1 based on their system properties and apply an action that will annotate each filtered message.
You need to configure the filtering.
How should you configure the filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 5

Drag and Drop Question
You plan to create a Docker image that runs an ASP.NET Core application named ContosoApp.
You have a setup script named setupScript.ps1 and a series of application files including ContosoApp.dll.
You need to create a Dockerfile document that meets the following requirements:
- Call setupScript.ps1 when the container is built.
- Run ContosoApp.dll when the container starts.
The Dockerfile document must be created in the same folder where ContosoApp.dll and setupScript.ps1 are stored.
Which five commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.

Solutions: