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

  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Jul 22, 2026
  • Q&As: 101 Questions and Answers

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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Build and extend agents in Copilot Studio40–45%- Develop agent flows and logic
  • 1. Create and modify conversation flows
  • 2. Use Power Fx expressions and functions
  • 3. Design adaptive cards and user interfaces
  • 4. Implement conditional logic and branching
- Implement advanced capabilities
  • 1. Customize models and prompt engineering
  • 2. Configure retrieval-augmented generation (RAG)
  • 3. Add tools, actions, and automation
  • 4. Implement computer-use and advanced action agents
- Integrate with services and systems
  • 1. Integrate with Microsoft Foundry and MCP servers
  • 2. Connect to Microsoft 365, Azure, and external enterprise systems
  • 3. Connect to APIs, custom connectors, and Dataverse
  • 4. Implement multi-agent solutions and orchestration
Topic 2: Test, deploy, and manage agents20–25%- Test and validate agent performance
  • 1. Create test cases and evaluation datasets
  • 2. Measure accuracy, relevance, and safety
  • 3. Debug and resolve errors or unexpected behavior
- Deploy and manage agent lifecycle
  • 1. Monitor usage, performance, and health
  • 2. Update, version, and retire agents
  • 3. Prepare solutions for deployment
  • 4. Implement application lifecycle management (ALM)
Topic 3: Plan and configure agent solutions30–35%- Configure agent foundations
  • 1. Define topics, triggers, and conversation flows
  • 2. Set up environment variables and configuration settings
  • 3. Design agent identity, personality, and instructions
  • 4. Configure knowledge sources and data connections
- Plan an agent solution
  • 1. Plan channels and deployment options
  • 2. Define responsible AI and governance strategy
  • 3. Evaluate security, compliance, and data privacy considerations
  • 4. Identify business requirements and use cases

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

1. A team has an existing agent in Copilot Studio and must move it to a different target location without rebuilding the agent. Some builders use Copilot Studio in the web app, while others use Copilot Studio in Microsoft Teams.
You need a supported approach to move the existing agent to the target location using ALM practices. The solution must avoid rebuilding the agent.
You need to move the existing agent to the target location using a supported method.
What should you do?

A) Remove agent components directly from the solution so that export and import will succeed.
B) Create a custom solution, add the existing agent to the solution, export the solution with the agent, and import the solution into the target environment.
C) Publish the agent to a channel and use the channel configuration as the transport mechanism to the target environment.
D) Duplicate the agent in the source and manually recreate the changes in the target to avoid solution dependencies.


2. Drag and Drop Question
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
- Must retrieve the current balance of a customer account stored in
Dataverse.
- Must retrieve the real-time shipping status of an order that updates
throughout the day in Dynamics 365.
- Must answer questions based on the content of a static PDF policy
document.
- Must provide a welcome message that does NOT depend on enterprise
data.
You need to configure the agent to meet the requirements.
How should the agent retrieve the data? To answer, move the appropriate solutions to the correct requirements. You may use each solution once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


3. You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources.
You run the evaluation and review the following result for one test case:
- Expected response: Digital products are non-refundable after
download.
- Actual response: Digital products cannot be refunded once downloaded.
- Result: Pass
- Score: 0.92
- Reasoning: The actual response semantically matches the expected
response.
- Knowledge sources used: RefundPolicy_KB
- Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A) Modify the test case because the response is not an exact match.
B) Rerun the evaluation because the score is below 1.00.
C) Confirm that the connected knowledge source is functioning as expected.
D) Investigate external tool configuration for this test case.
E) Accept the result because semantic matching is sufficient for a passing evaluation.


4. An agent calls a flow. The agent requires structured output values to be returned.
The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow.
What should you do?

A) Review the flow run history.
B) Validate parameter definitions.
C) Add a Parse JSON inside the flow.
D) Republish the agent.
E) Change the trigger schema.


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.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: To export, import, and manage agents between environments, you need to create and use a custom solution.
Does the solution meet the goal?

A) Yes
B) No


Solutions:

Question # 1
Answer: B
Question # 2
Answer: Only visible for members
Question # 3
Answer: C,E
Question # 4
Answer: B
Question # 5
Answer: B

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