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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q19-Q24):

NEW QUESTION # 19
A company is building an agent topic in Copilot Studio. The agent topic uses a generative answers node to respond to user questions based on authorized knowledge sources.
To meet the business needs, the generative answers node must meet the following requirements:
Use the user's message in the generative answers node.
Scope the topic node to query only designated data.
Restrict responses to approved enterprise data.

Answer:

Explanation:


NEW QUESTION # 20
You need to implement tool usage in topics that meet the Blue Yonder design and governance requirements.
Which implementation method should you use for each requirement? To answer, move the appropriate implementation methods to the correct requirements. You may use each implementation method once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Requirement
Implementation method
Let the agent decide when to run a tool based on user input.
Enable generative orchestration.
Run a specific agent flow at a defined step in a topic.
Add a tool node.
Use a connector action to retrieve data during a conversation.
Add a tool node.
Generative orchestration is appropriate when the agent must independently determine whether a tool is relevant to the user's request. Copilot Studio evaluates the user's message, conversation context, and the tool' s name, description, inputs, and outputs before deciding whether to invoke it. Microsoft documentation confirms that generative orchestration allows an agent to choose tools based on their descriptions and the current user query.
When an operation must occur at a predetermined point in an authored topic, the operation should instead be inserted explicitly by using an Add a tool node. Selecting an agent flow from that node ensures that the flow executes at that exact position in the topic rather than being selected autonomously by the orchestrator.
The same node type is used when calling a connector action. From the topic canvas, the author selects Add a tool , chooses Connector , and then selects and configures the required connector operation. Adaptive Cards present interactive information, while Question nodes collect user input; neither directly invokes flows or connectors.
Relevant study-guide area: Plan and configure agent solutions # Configure topics # Add agent flows to a topic and Add tools to a topic . See Orchestrate agent behavior with generative AI , Add tools to custom agents , and Use connectors in Copilot Studio agents .


NEW QUESTION # 21
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API. The API returns structured JSON responses and requires authentication.
To meet the business needs, the solution must meet the following requirements:
The agent calls a REST API during a conversation.
The REST API call runs with proper authentication.
The REST API response is available to the topic at runtime.
You need to configure the REST API to meet the requirements.
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.

Answer:

Explanation:


NEW QUESTION # 22
An agent's generative answers responses sometimes include information not present in any configured knowledge source. What should you do to reduce this behavior?

Answer: B

Explanation:
Restricting the generative answers node (or agent instructions) to only use configured knowledge sources reduces hallucinated content that isn't grounded in approved data.


NEW QUESTION # 23
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
[A] Configure an HTTP action and invoke it from a topic during the conversation.
This is a correct and supported solution.
You can fulfill this requirement directly within Microsoft Copilot Studio by configuring an HTTP Request node (HTTP action) inside a topic.
Real-Time Execution: The HTTP action is explicitly executed at runtime during the live conversation when the specific topic is triggered.
Native Authentication Support: The HTTP Request node allows you to securely pass authentication tokens, API keys, or custom credentials directly within the request headers.
Handles Structured JSON: The node natively supports standard REST methods (GET, POST, PATCH, PUT, DELETE) and can ingest structured JSON data, allowing you to parse and store the returned values into agent variables for use later in the conversation.
[C] Add the REST API as a tool and call it either by using a topic or agent instruction.
Depending on how your agent architecture is managed, you could also fulfill this requirement using these alternative methods:
*-> REST API Tools (OpenAPI Plugins): You can upload an OpenAPI specification directly into Copilot Studio to register the REST API as a native REST API tool/action.
* Power Automate Flows: You can invoke a Power Automate cloud flow from a topic, using the HTTP connector inside the flow to retrieve and pass back the JSON data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api


NEW QUESTION # 24
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