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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio AB-620 Prüfungsfragen mit Lösungen (Q70-Q75):

70. Frage
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.

Antwort:

Begründung:

Explanation:
Call the API during the conversation # Configure a REST action and call it from the topic; Run with authentication # Build an authenticated connection for the API; Make the response available at runtime # Store the API response in a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The REST action is the executable component that issues the request when the topic reaches that node. An authenticated connection supplies the credential or token handling required by the endpoint; embedding secrets directly in a topic would be insecure and difficult to manage across environments. The returned JSON must then be assigned to a topic variable so downstream nodes can inspect fields, make decisions, format a response, or pass the value to another tool. Treating the API as indexed knowledge would be inappropriate because the requirement is a live runtime call, not search over a periodically indexed corpus. The builder should define the HTTP operation, endpoint, inputs, response schema, and output variable precisely. Authentication should use the narrowest appropriate identity model-user-delegated when actions must be attributable to the user, or maker
/service credentials only when the business design permits shared access. Error and timeout paths should be explicit so malformed JSON, authorization failures, and unavailable services do not produce silent or misleading responses. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Add REST APIs to an agent.


71. Frage
An agent in Copilot Studio already exists in a development environment.
You need to prepare the agent so it can be moved to a production environment by using the supported solution-based approach.
You need to create an exportable package that contains the existing agent.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Antwort: D,E


72. Frage
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 must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be 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.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
Requirement
Correct configuration
Users must be able to trace each answer back to its source.
Instruct the agent to cite sources in the knowledge settings.
The agent retrieves information from a centralized data index.
Configure Azure AI Search as the grounding data source.
Responses are generated by an enterprise-approved foundation model.
Deploy a model in Foundry to an agent and connect it to Copilot Studio.
Source citations provide traceability by connecting generated statements to the enterprise content used for grounding. Therefore, the agent's knowledge instructions should require citations. For Azure AI Search, this also requires a usable URL in the search index. Copilot Studio interprets metadata_storage_path, or another field containing a complete URL, as the citation target. Consequently, instructions alone cannot produce functional links if the index does not expose a valid source URL.
Azure AI Search should be configured as the grounding source because it provides centralized, indexed retrieval for enterprise content. During a conversation, the user's query is submitted to the configured search index, relevant passages are retrieved, and those passages become the grounding context for the generated response. Uploading documents directly to Copilot Studio would create a separate Dataverse-backed knowledge source and would bypass the required centralized index.
To satisfy organizational model governance, the approved foundation model must be deployed through Microsoft Foundry and associated with a Foundry agent that is connected to Copilot Studio. This ensures generation uses the approved model deployment rather than an unrelated default model.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Integrate agents with Azure # Configure generative answers by using Azure AI Search with Foundry . See Add Azure AI Search as a knowledge source and Connect to a Microsoft Foundry agent .


73. Frage
You need an agent built in Copilot Studio to invoke tools hosted on an external server using a standardized protocol that exposes tool schemas and capabilities for consumption by AI models.
Which protocol should you use?

Antwort: D

Begründung:
MCP is the standardized protocol that lets an agent discover and call external tools/resources exposed by an MCP server, using a consistent schema the model can reason over.


74. Frage
Drag and Drop Question
A company configures an agent flow that interacts with multiple systems to complete user requests.
The company must integrate external services, retrieve data, and notify users as part of the same automated flow run. To support this scenario, the agent flow must be able to do the following:
- Call an external API.
- Retrieve stored data from a supported internal data source.
- Send a Teams message.
You need to select a connector or action type for each requirement.
What should you use? To answer, move the appropriate connectors or actions to the correct requirements. You may use each connector or action 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.

Antwort:

Begründung:

Explanation:
Box 1: Make an HTTPS request.
To call an external API within a Copilot agent flow, you should make an HTTPS request.
Direct API Integration: It allows the flow to send HTTP requests (GET, POST, PUT, DELETE) directly to any external REST API endpoint.
Data Retrieval & Actions: It can both fetch data from external systems and send data to trigger external processes in a single automated run.
Flexibility: It does not require a pre-built ecosystem connector, meaning you can connect to any custom or proprietary external service as long as you have the API URL and authentication details.
Box 2: Add a standard connector.
You should add a standard connector.
Standard and custom Power Platform connectors provide the communication interface required for a Copilot agent flow to read from or write to external systems in real-time. They act as wrappers around APIs, enabling the agent to securely authenticate, integrate external services, retrieve stored data from internal data sources, and trigger actions across multiple business applications within a single automated flow run.
Box 3: Trigger a notification
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/integrations


75. Frage
......

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