AI-103 Practice Test

Question 31

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?

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

Question 32

You have a Microsoft Foundry project that contains an agent used by the financial analysts at your company. You need to optimize the agent workflow by providing additional data access and processing capabilities. The solution must meet the following requirements: Ensure that the agent can perform calculations during conversations. Ensure that the agent can access up-to-date information from public websites. Ensure that the agent can retrieve information from documents uploaded directly to the agent. What should you use for each requirement? To answer, drag the appropriate tools to the correct requirements. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.