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

Microsoft AB-620 test insides dumps
  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Aug 07, 2026
  • Q & A: 101 Questions and Answers
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Microsoft AB-620 Exam Syllabus Topics:
SectionWeightObjectives
Integrate and Extend Agents in Copilot Studio40-45%- Integrate agents with enterprise systems
  • 1. Use connectors and custom connectors
  • 2. Implement Model Context Protocol (MCP)
  • 3. Configure Azure AI Search and enterprise knowledge sources
  • 4. Integrate with Microsoft Foundry and Azure services
  • 5. Integrate REST APIs and external services
- Build advanced agent solutions
  • 1. Implement human-in-the-loop workflows
  • 2. Automate computer-use and orchestration scenarios
  • 3. Configure actions and tools
  • 4. Create agent flows
  • 5. Design and implement multi-agent solutions
Plan and Configure Agent Solutions30-35%- Plan agent solutions
  • 1. Design agents for internal or external audiences
  • 2. Plan channels and deployment
  • 3. Plan identity strategy
  • 4. Evaluate security and governance considerations
  • 5. Plan responsible AI strategy
  • 6. Plan reusable agent components
  • 7. Plan integration with enterprise systems
Test and Manage Agents20-25%- Monitor and manage agent solutions
  • 1. Monitor agent flows and performance
  • 2. Test and validate agent behavior
  • 3. Implement governance and security controls
  • 4. Use Power Platform pipelines and ALM processes
  • 5. Manage deployments and environments
  • 6. Apply responsible AI practices
Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:

1. Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
The tests provide the following results:
- Each evaluation case is reported as meeting or missing the expected
response.
- Some evaluation cases fail repeatedly across several runs.
- Each run displays the expected response and the response generated by the agent.
You need to provide a conclusion based on the evaluation results.
Which conclusions should you make? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


2. A company uses an agent in Copilot Studio to generate structured responses for internal users.
The agent must meet the following requirements:
- Consistently follow a reusable instruction template for response tone and structure.
- Use an enterprise-approved foundation model for responses generated
through the template.
You need to configure custom prompts so the agent uses the Microsoft Foundry model catalog.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Select a model from the Foundry model catalog for the custom prompt configuration.
B) Allow topic authors to define tone and structure directly in topic steps.
C) Configure Azure AI Search as the grounding source, so the model choice is enforced.
D) Create a custom prompt template and apply it where the agent generates the structured response.
E) Enable citations, so the model is restricted to approved outputs.
F) Publish the agent to apply the Foundry model selection automatically.


3. You are testing an agent in a development environment and need to verify how it responds across multiple conversation paths before publishing to production. What should you use?

A) Directly editing the production channel
B) Power BI
C) Deleting and recreating topics
D) The Test panel in the authoring canvas


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


5. 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: Retry the failing action without handling failure.
Does the solution meet the goal?

A) No
B) Yes


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: A,D
Question # 3
Answer: D
Question # 4
Answer: D
Question # 5
Answer: A

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