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Choose the best response for each question.
What is a primary benefit of using Microsoft Fabric Data Agents in an organization?
They allow users to ask questions in plain English and receive context-rich answers from enterprise data.
They require users to write complex SQL queries for every data request.
They only work with Power BI and don't support other data sources.
What defines the scope of data a Microsoft Fabric Data Agent can access to answer user questions?
The example queries provided during setup
The data sources explicitly connected (grounded) to the agent
The agent's AI instructions
The number of users interacting with the agent
What is the purpose of providing example queries when configuring a Microsoft Fabric Data Agent?
To help the AI generate more precise responses by demonstrating expected outputs.
To restrict the agent to only answer those specific questions.
To increase the number of data sources the agent can access.
Which statement correctly describes permissions for the Fabric IQ integration in an existing Microsoft Foundry project?
Foundry User supports building and testing agents, Foundry Project Manager is required to create the Fabric IQ connection, and users need access to the data agent and its underlying sources.
Foundry User alone grants permission to create the Fabric IQ connection and read all connected Fabric data.
Publishing the Fabric data agent gives all Foundry project users access to its underlying sources.
How do you add published Fabric data agents to a Foundry agent through the portal with Fabric IQ?
Add Fabric IQ (OneLake Catalog) in Tools, filter for Data agent, and select published agents that you have access to.
Select Fabric IQ to automatically connect every data agent in the tenant.
Add an unpublished data agent from the catalog and let Foundry publish it automatically.
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