Microsoft AB-620 - Designing and Building Integrated AI Agent Solutions in Copilot Studio

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Microsoft AB-620 Exam Syllabus Topics:

Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:

1. Drag and Drop Question
A company uses an agent in Copilot Studio in production and requires centralized monitoring for operational visibility and troubleshooting.
The team decides to use Application Insights as the monitoring solution.
An agent activity is not included in the monitoring data.
You need to enable monitoring the agent by using Application Insights.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

2. A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?

A) Publish the agent to a channel and use that channel configuration as the ALM container.
B) Export the agent directly and then import it into another environment.
C) Export the custom solution as a managed solution and import it into production.
D) Create a new custom solution from the Solutions area.

3. A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?

A) Enable conversational boosting and select a Foundry-approved model.
B) Use Azure AI Search as a tailback source and enable answer expansion.
C) Enable citations and configure a public model endpoint.
D) Upload documents into the agent and disable fallback responses.
E) Require grounding for generative answers and use Azure AI Search as the retrieval source.

4. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
An agent uses a flow that calls an external service which can occasionally fail or time out.
When a failure occurs, the agent must meet the following requirements:
- Must not terminate silently.
- Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Solution: Configure run after conditions for failure paths.
Does the solution meet the goal?

A) No
B) Yes

5. Drag and Drop Question
A company needs to ground an agent in Copilot Studio answers using live enterprise data from a supported system via a Microsoft Power Platform connector.
To meet the business needs, the builder must meet the following requirements:
- Authenticate using a valid connection.
- Add the connector as a real-time knowledge source.
- Select the tables for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Solutions: