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

Microsoft AB-620 exam
  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Sep 19, 2026
  • Q & A: 133 Questions and Answers
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Microsoft AB-620 Exam Syllabus Topics:

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

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

Question #1

A company uses multiple Copilot Studio agents that perform specialized tasks.
You need to configure a Copilot Studio agent in your environment to connect to an external agent.
What should you do?

  • A. Enable generative answers to call the other agent.
  • B. Add a Power Platform connector tool that calls the other agent.
  • C. Add the target agent as an indexed knowledge source.
  • D. Provide A2A endpoint information for the target agent.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

Drag and Drop Question
A team is preparing a test set to evaluate an agent in Copilot Studio before expanding access to additional users.
The test set must support consistent evaluation across repeated runs and focus on the agent's most important behaviors.
You need to create a test set that enables repeatable and meaningful evaluation.
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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
To establish a repeatable and meaningful evaluation in Microsoft Copilot Studio, you should perform the actions in the following logical order:
Step 1: Identify the high-value conversational intents the agent must handle Focus first on the core business values and critical user goals.
Pinpoint exactly what your agent needs to achieve.
Define the core capabilities (e.g., knowledge base lookups, specific topic flows) the agent must master before expanding access.
Step 2: Author representative user prompts that trigger the identified intents Write various realistic phrases that users will likely use to trigger those core intents.
Step 3: Define the expected outcomes and success criteria for each interaction.
Establish what a correct agent response looks like for each authored prompt.
Step 4: Baseline the test set to ensure deterministic evaluation across repeatable runs.
Lock in your test cases and expected outputs to measure future changes accurately.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-create

Question #3

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. Add a Parse JSON inside the flow.
  • B. Validate parameter definitions.
  • C. Review the flow run history.
  • D. Republish the agent.
  • E. Change the trigger schema.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

A company is building an agent topic in Copilot Studio.
The topic must meet the following requirements:
- Collect structured user input in a single step.
- Store the submitted values for use later in the conversation.
You need to configure the topic based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Add input fields to the card and include an Action.Submit button.
  • B. Use the latest Adaptive Card schema version in all channels to ensure full feature support.
  • C. Paste the card JSON into a Message node to collect the user's response.
  • D. Use Action.Execute for the button so the card can run commands across channels.
  • E. Add an Ask with Adaptive Card node to the topic.
Reveal Solution  Discussion  0

Correct Answer: A,E  🗳️

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Question #5

Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation 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 interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Pass or fail status.
Based on the evaluation results, you can conclude the Pass or fail status.
Direct mapping: Measuring whether a case "meets" or "misses" an expectation is the definition of a binary pass/fail test.
Insufficient data for production: You cannot fully determine Production readiness because readiness requires broader metrics like latency, security, and user acceptance testing.
No diagnostic data: You cannot determine the Failure configuration because a simple "miss" label does not explain why the system failed or how it is misconfigured.
Box 2: Consistent outcomes
Based on the evaluation results, you can conclude that these are Consistent outcomes.
Definition of Consistency: Because the specific evaluation cases fail repeatedly across several runs, the behavior is predictable and stable, not random.
Box 3: Expected and generated responses:
The correct conclusion from these evaluation results is Expected and generated responses.
Expected and generated responses: The evaluation results explicitly show a side-by-side comparison between what the agent was supposed to say (expected response) and what it actually said (generated response). This allows you to conclude exactly how well the agent's outputs align with your test cases.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results

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