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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. Drag and Drop Question
You have a web app that uses Azure AI Search.
When reviewing activity you see greater than expected search query volumes. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

2. Hotspot Question
You have a Python application that redacts sensitive information before sending prompt text to a language model. The application has the following code:

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

3. You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?

A) a SASCredentials object
B) an AIProjectClient object
C) a project scope key
D) a connection string

4. You are developing an application that will use Azure AI Search for internal documents.
You need to implement document-level filtering for Azure AI Search.
Which three actions should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Create one index per group.
B) Send access tokens from Microsoft Entra ID, with the search request.
C) Supply the groups as a filter for the search requests
D) Retrieve all the groups.
E) Add allowed groups to each index entry
F) Retrieve the group memberships of the user

5. You have a Microsoft Foundry project that contains an agent. The agent has a Model Context Protocol (MCP) tool that queries a knowledge base stored in Azure AI Search.
Some agent runs return answers from the base model without invoking the knowledge base, which results in responses without grounded citations.
You are provided with the following code snippet that runs the agent.

You need to add the correct tool _choiceparameter to the code to deterministically force the agent to invoke the MCP tool on each run.
What should you add?

A) tool_choice={"required"}
B) tool_choice={"type":"knowledge_base"}
C) tool_choice ={"type":"mcp"}
D) tool_choice={"auto"}

Solutions: