A company has a large corpus of technical documents stored in Azure Blob Storage. They want the agent to provide answers based on semantic search over these documents. The admin has already created an Azure AI Search index. What should the admin do to enable the agent to use this index?

Use the SharePoint connector to access the Blob Storage documents.

Upload the documents directly to the agent's knowledge base.

Create a custom connector that calls the Azure AI Search REST API.

Add Azure AI Search as a knowledge source and provide the index name and API key.

An admin is evaluating whether to use a Copilot connector or Azure AI Search as a knowledge source for an agent. The data is stored in a custom database and is updated frequently. The agent needs real-time answers. What should the admin consider?

Use a connector to the database for real-time queries, as Azure AI Search would require indexing and may have latency.

Use both a connector and Azure AI Search to ensure redundancy.

Use Azure AI Search because it always provides faster responses than a connector.

Use Azure AI Search with a high-frequency indexer to keep the data up to date.

Which of the following is a common use case for Azure AI Search in a Copilot Studio agent?

Providing a knowledge base for the agent to retrieve answers from

In Copilot Studio, what is required to connect to an Azure AI Search resource?

The Azure AI Search endpoint and an API key

An organization has an Azure AI Search index that contains sensitive customer data. The agent must only return data to users who have permission to see it. The admin has configured the index with field-level security. What should the admin do to ensure the agent respects these permissions?

Pass the user's identity or a filter parameter to the Azure AI Search query.

Use a Power Platform connector to access the index and apply security in the connector.

Disable the Azure AI Search knowledge source for users without permissions.

Create separate agents for each user role.

Microsoft Certified:AI Agent Builder Associate

Domain 2Objective 1

Connect to Enterprise Knowledge Sources AB-620 Practice Questions (Page 2)

Part of the Integrate and extend agents in Copilot Studio domain, which accounts for 40–45% of the AB-620 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~20–36 in this domain), expect 5–9 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

6concepts

40–45%of the exam

Questions 6–10

6application · medium
A company has a large corpus of technical documents stored in Azure Blob Storage. They want the agent to provide answers based on semantic search over these documents. The admin has already created an Azure AI Search index. What should the admin do to enable the agent to use this index?
Select an answer first
7expert · medium
An admin is evaluating whether to use a Copilot connector or Azure AI Search as a knowledge source for an agent. The data is stored in a custom database and is updated frequently. The agent needs real-time answers. What should the admin consider?
Select an answer first
8foundation · easy
Which of the following is a common use case for Azure AI Search in a Copilot Studio agent?
Select an answer first
9foundation · easy
In Copilot Studio, what is required to connect to an Azure AI Search resource?
Select an answer first
10expert · medium
An organization has an Azure AI Search index that contains sensitive customer data. The agent must only return data to users who have permission to see it. The admin has configured the index with field-level security. What should the admin do to ensure the agent respects these permissions?
Select an answer first

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