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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You need to ensure that Agent1Dev Team can access Agent1. The solution must meet the security and compliance requirements.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. You have a Microsoft Foundry project that contains an internal Q & A agent.
Users report the following issues when they ask the agent questions:
* An increase in the following response: "No relevant information found"
* Periodic HTTP 429 rate limit exceeded errors during peak hours
You need to identify whether each issue is caused by model unavailability, resource limits, or inference failures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You are planning a Microsoft Foundry project named Project1 that will contain multiple agents. Each agent will access the same Azure Al Search resource.
You need to recommend a solution to centrally manage the Azure Al Search credentials within Project1. The solution must be implemented across all the agents.
What should you recommend?

A) Disable key-based access control on the Azure Al Search resource.
B) Enable role-based access control (RBAC) for the Azure Al Search resource.
C) Add a connection to the Azure Al Search resource.
D) Create a managed private endpoint that connects to the Azure Al Search resource.

4. You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools.
You fine-tune a baseline speech to text model for the en-us locale and publish the model.
The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid.
You need to set the project property to the correct ID.
To what should you set the project property?

A) the custom speech endpoint URL
B) the project ID
C) the custom speech project ID
D) the project URL

5. You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
* Multiple client applications must use the same search configuration.
* A security policy must prevent key-based authentication.
* Administrative effort must be minimized.
What should you do?

A) Call Azure AI Search directly from each application by using Microsoft Entra authentication.
B) Enable a managed identity for each application and call Azure AI Search directly.
C) Configure an Azure AI Search connection in Project1 and reference the connection in each application.
D) Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.

Solutions: