AI-103: Developing AI Apps and Agents on Azure

By Microsoft · Question Mode

QuestionQ22

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You have a Microsoft Foundry project containing an agent that your company's financial analysts use.

You need to optimize the agent workflow by adding data access and processing capabilities that meet these requirements:

  • The agent must be able to perform calculations during conversations.
  • The agent must be able to access up-to-date information from public websites.
  • The agent must be able to retrieve information from documents uploaded directly to it.

Which tool should you use for each requirement? A tool can be used once, more than once, or not at all.

Drag & Drop
Access up-to-date information from public websites:
Perform calculations during conversations:
Retrieve information from documents uploaded directly to the agent:
Explanation

Grounding with Bing Search lets an agent retrieve current, real-time information from the public web, which is required to answer with up-to-date information from public websites. Code interpreter runs code in a sandboxed execution environment, letting the agent perform calculations and data processing during a conversation. File search indexes and retrieves content from documents uploaded directly to the agent, satisfying the third requirement. Computer use and Microsoft Fabric are not designed for these scenarios: computer use drives a GUI/OS environment, and Microsoft Fabric integration targets enterprise data platform assets rather than files uploaded directly to the agent.

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