AI-103: Developing AI Apps and Agents on Azure

By Microsoft · Question Mode

QuestionQ2

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You need to recommend a plan for creating a customer support agent using the Microsoft Foundry Agent Service. The agent must meet these requirements:

  • Retain user preferences across multiple conversations.
  • Let users provide contextual grounding by uploading documents directly during a chat.

Which Foundry capability should you recommend for each requirement?

Select
To retain user preferences across conversations, use:
To enable users to provide contextual grounding during chats, use the:
Explanation

Agent memory that uses persistent storage keeps curated, long-lived information such as user preferences outside of any single conversation thread, so it can be recalled in later sessions and satisfies the requirement to retain preferences across conversations; plain conversation history and orchestration-managed session context are scoped to the current thread or session and do not persist afterward. The File search tool lets users attach documents directly during a chat and grounds responses in that uploaded content on the fly, whereas the Azure AI Search tool queries a pre-built, pre-indexed search index rather than files uploaded in the moment, and the code interpreter tool executes code rather than performing document retrieval.

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