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Microsoft AB-620 Exam Syllabus Topics:

Section

Weight

Objectives

Topic 1: Integrate and Extend Agents in Copilot Studio

40-45%

- Build advanced agent solutions

1. Implement human-in-the-loop workflows
2. Create agent flows
3. Automate computer-use and orchestration scenarios
4. Configure actions and tools
5. Design and implement multi-agent solutions

- Integrate agents with enterprise systems

1. Configure Azure AI Search and enterprise knowledge sources
2. Use connectors and custom connectors
3. Implement Model Context Protocol (MCP)
4. Integrate REST APIs and external services
5. Integrate with Microsoft Foundry and Azure services

Topic 2: Test and Manage Agents

20-25%

- Monitor and manage agent solutions

1. Apply responsible AI practices
2. Implement governance and security controls
3. Manage deployments and environments
4. Test and validate agent behavior
5. Monitor agent flows and performance
6. Use Power Platform pipelines and ALM processes

Topic 3: Plan and Configure Agent Solutions

30-35%

- Plan agent solutions

1. Design agents for internal or external audiences
2. Plan identity strategy
3. Plan integration with enterprise systems
4. Evaluate security and governance considerations
5. Plan reusable agent components
6. Plan responsible AI strategy
7. Plan channels and deployment

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

Question #1

Drag and Drop Question
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
- Users are able to trace each answer back to its source.
- The agent retrieves information from a centralized data index.
- Responses are generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Reveal Solution Discussion 0

Correct Answer:

Explanation:
Box 1: Instruct the agent to cite sources in knowledge settings
The specific behavior of how the agent presents that information-such as enforcing citations and tracing links back to the source documents-is controlled by the instructions and configurations within the agent's knowledge and conversation settings. You must explicitly configure the agent's prompt instructions or system settings to format the output with source citations so users can trace the answers.
Box 2: Configure Azure AI Search as the grounding data source
By adding Azure AI Search as a knowledge source Microsoft Copilot Studio enables the Retrieval-Augmented Generation (RAG) pattern. This ensures your generative AI model retrieves specific enterprise content from your centralized index and uses it to ground responses.
Box 3: Deploy a model in Foundry to an agent and connect to Copilot Studio Model Control: To strictly guarantee that an enterprise-approved foundation model (such as a specific Microsoft Foundry model) generates the response, you must manually deploy that specific model and link it to your agent.
Connection Workflow: Deploying the custom model in Azure AI Studio (formerly encompassing parts of Azure AI Foundry) and connecting it to Copilot Studio ensures the orchestration layer routes prompts directly to your certified LLM.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/ai-search

Question #2

Drag and Drop Question
A company has an existing custom connector that is approved and available in the environment.
A builder wants an agent in Copilot Studio to call the connector during a conversation to retrieve information from an internal system.
To meet the business needs, the solution must meet the following requirements:
- The agent must make the connector available for topic steps.
- The agent must run the connector call with a valid connection.
- The connector call must receive the required input values at runtime.
You need to configure the agent so the custom connector can be used as a tool.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Reveal Solution Discussion 0

Correct Answer:

Explanation:
Box 1: Add the connector as a tool in the agent.
To make an approved custom connector available for topic steps within Copilot Studio, you must add the connector as a tool in the agent.
In Copilot Studio, actions and custom connectors must be explicitly registered as "Tools" within the agent's capabilities before they can be recognized or called by topics.
Box 2: Create or reuse a connection for the connector
The appropriate action is to create or reuse an existing connection for the custom connector.
Because the connector is already approved and available in your environment, you can simply select it from your tools and link the predefined connection Use connectors in Copilot Studio agents.
Box 3: Map topic variables to the tool inputs
The correct configuration action is to Map topic variables to the tool inputs.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-connectors

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

Reveal Solution Discussion 0

Correct Answer: C,E 🗳️

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Question #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.
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
Does the solution meet the goal?

A. Yes
B. No

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #5

A regulated company requires that all agent conversations be logged, and that administrators can review transcripts for compliance auditing. Which two features should you configure? (Choose two.)