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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test and Manage Agents20-25%- Monitor and manage agent solutions
  • 1. Use Power Platform pipelines and ALM processes
  • 2. Apply responsible AI practices
  • 3. Monitor agent flows and performance
  • 4. Implement governance and security controls
  • 5. Manage deployments and environments
  • 6. Test and validate agent behavior
Plan and Configure Agent Solutions30-35%- Plan agent solutions
  • 1. Plan channels and deployment
  • 2. Design agents for internal or external audiences
  • 3. Plan reusable agent components
  • 4. Plan integration with enterprise systems
  • 5. Plan identity strategy
  • 6. Plan responsible AI strategy
  • 7. Evaluate security and governance considerations
Integrate and Extend Agents in Copilot Studio40-45%- Integrate agents with enterprise systems
  • 1. Integrate with Microsoft Foundry and Azure services
  • 2. Use connectors and custom connectors
  • 3. Configure Azure AI Search and enterprise knowledge sources
  • 4. Implement Model Context Protocol (MCP)
  • 5. Integrate REST APIs and external services
- Build advanced agent solutions
  • 1. Configure actions and tools
  • 2. Automate computer-use and orchestration scenarios
  • 3. Implement human-in-the-loop workflows
  • 4. Create agent flows
  • 5. Design and implement multi-agent solutions

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q41-Q46):

NEW QUESTION # 41
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?

Answer: A

Explanation:
Correct:
* Configure run after conditions for failure paths.
You should configure the "Run after" conditions in Power Automate (the underlying flow engine) to handle these failures in a controlled and predictable way.
By default, a cloud flow step only runs if the previous step is successful. If your external service fails or times out, all subsequent steps will normally skip, causing the flow to fail silently from the perspective of the Copilot Studio agent.
How to Configure the Flow for Failure Handling
To meet your requirements, you need to create a parallel or sequential failure path using the following steps:
1. Add your Notification Action
2. Configure "Run After" Settings
Incorrect:
* Retry the failing action without handling failure.
* Send a notification with relevant error details.
Reference:
https://www.matthewdevaney.com/3-power-automate-error-handling-patterns-you-must-know/


NEW QUESTION # 42
Drag and Drop Question
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
- The company has the following requirements for the application:
- The deployment workflow must follow a dependency driven sequence.
- The agent must be published before configuration values are
retrieved.
- End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate 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.

Answer:

Explanation:

Explanation:
Step 1: Publish the agent
Based on the second requirement, the agent must be published first before any configuration values can be generated or retrieved.
Step 2: Retrieve the current agent configuration values
Once published, you can extract the necessary configuration properties (such as the Agent ID and Tenant ID) required to connect your applications and infrastructure.
Step 3: Configure and enable the agent's target integration channel
Before configuring the SDK code, you must enable the target channel (such as the Custom App or Mobile App channel) within Copilot Studio Channels to permit incoming external connection requests.
Step 4: Implement the Microsoft 365 Agents SDK in the app using the agent configuration With the channels enabled and configurations in hand, your developers can now write the code to implement the Microsoft 365 Agents SDK into your custom application.
Step 5: Validate the end-to-end conversation workflow in a test environment Following the third requirement, end-to-end validation must happen prior to production deployment. This step ensures the chat interface, authentication, and SDK pipelines function flawlessly.
Step 6: Deploy the web app to production
Once validation passes successfully, the final step is to push your custom application live to your production environment.
Reference:
https://www.linkedin.com/pulse/microsoft-365-agents-sdk-integrating-copilot-studio-custom-sokolov-dcche


NEW QUESTION # 43
Drag and Drop Question
A team has deployed an agent in Copilot Studio and needs to evaluate whether the agent is meeting its intended goals before expanding usage to a broader audience.
The team must evaluate agent performance using a structured and repeatable approach that produces actionable insights.
You need to select and apply an appropriate evaluation method by performing the required actions in the correct order.
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.

Answer:

Explanation:

Explanation:
Step 1: Define the success criteria and evaluation objectives
You must always start by establishing what "success" looks like and what you are trying to measure. Without clear goals, you cannot choose the right metrics.
Step 2: Select the evaluation method and metrics aligned to the criteria Once goals are set, you determine how to measure them (e.g., using automated tests, human reviewers, or user satisfaction scores) and define specific key performance indicators (KPIs).
Step 3: Collect agent interaction data and evaluation signals
After setting up your metrics, you run the evaluation by gathering conversational logs, user feedback, and system performance telemetry during agent interactions.
Step 4: Review evaluation results and identify improvement opportunities Finally, you analyze the gathered data against your original criteria to pinpoint bottlenecks, conversational failures, or gaps, allowing you to iterate and improve the agent.


NEW QUESTION # 44
A company must enable an agent in Copilot Studio to execute operations exposed by an external MCP server.
The MCP server publishes callable tools and requires authentication.
The agent must be able to invoke MCP tools during conversations.
You need to configure MCP tools so the agent can execute MCP tool calls.
What should you do?

Answer: C

Explanation:
To best configure the Model Context Protocol (MCP) tools so the agent can successfully invoke operations, you should configure OAuth 2.0 authentication.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/mcp-add-existing-server-to-agent


NEW QUESTION # 45
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?

Answer: A

Explanation:
Correct:
* Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
To fulfill all the requirements in the best way, you must configure the custom instructions directly inside the specific Generative Answers node properties within that targeted topic.
By default, editing custom instructions at the global agent level or the Conversational boosting system topic applies globally. To scope formatting changes to only one topic while keeping configured data sources and security intact, you must override the instructions at the node level.
Incorrect:
* Add instructions in the custom prompt tool to restrict connector access during runtime.
* Configure the custom prompt tool at the topic level so that other topics are not affected.
* Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node


NEW QUESTION # 46
......

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