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| Section | Objectives |
|---|---|
| Governance, Security, and Compliance | - Data protection and responsible AI practices - Environment management in Power Platform - Managing access control and authentication |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics |
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Monitoring performance and analytics - Publishing and deploying copilots |
| Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs |
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NEW QUESTION # 65
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
Publishing is the foundational action that makes the agent's build available for use. In Copilot Studio, an agent must be published before it can be connected to any channel or before its connection metadata (endpoint URL, App ID, client secret, tenant ID) becomes accessible. This is explicitly stated in the scenario as a hard requirement - configuration values cannot be retrieved before publishing. Publishing essentially "activates" the agent so downstream systems have something concrete to reference.
Step 2: Retrieve the current agent configuration values
Once the agent is published, its configuration details become available and can be retrieved.
These values (App ID, App password/secret, tenant ID, and the agent's endpoint) are what allow an external application to authenticate and communicate with the Copilot Studio agent. This step is dependent on Step 1 by definition - there is nothing to retrieve until the agent exists in its published state. This satisfies the requirement that publishing precede configuration retrieval.
Step 3: Implement the Microsoft 365 Agents SDK in the app using the agent configuration With the configuration values in hand, the development team wires the Microsoft 365 Agents SDK into the custom application. The SDK uses the retrieved App ID, secret, and endpoint to establish the connection between the custom app and the published Copilot Studio agent. This step logically depends on Step 2 - you can't configure the SDK with values you haven't yet retrieved.
This is the actual "integration" work described in the scenario's premise.
Step 4: Validate the end-to-end conversation workflow in a test environment After the SDK integration is implemented, the full conversation flow - from the custom app, through the SDK, to the Copilot Studio agent, and back - must be tested in a non-production environment. This satisfies the explicit requirement that end-to-end validation occur before production deployment. Since production deployment isn't one of the four listed actions in this trimmed variant, this validation step is the final, gating checkpoint of the visible workflow - implying that production deployment (not shown as a draggable option) would follow only after this validation succeeds.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/channels
https://learn.microsoft.com/en-us/microsoft-copilot-studio/publication-integrate-web-or-native-app-m365-agents-sdk
NEW QUESTION # 66
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: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The agent needs a valid authenticated connection to the MCP server before it can discover and invoke the server ' s published tools.
Copilot Studio supports the authentication methods exposed during MCP onboarding, including API key and OAuth 2.0. The choice must match the server: OAuth is appropriate for user-delegated authorization, while an API key is a shared secret mechanism. Publishing does not create credentials or make an unauthenticated server usable. A Power Platform connector used as real-time knowledge would serve a different retrieval pattern and would not replace the MCP tool contract. Generative answers also do not establish MCP connectivity; generative orchestration can select a tool only after that tool is correctly connected and described. The server and individual tools should have clear descriptions, typed inputs, and constrained permissions. Test the connection under the intended identity, confirm that only expected tools are visible, and implement error handling for consent, expired credentials, denied scopes, server unavailability, and invalid tool output. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure MCP tools.
NEW QUESTION # 67
You run the same fixed test set three times in Copilot Studio.
During evaluation, you observe the following:
The same interaction fails in all three runs.
Score values range from 0.58 to 0.61.
The reasoning states that the response partially matches the expected answer.
The knowledge source that is used is internal documentation.
No tools are invoked.
Answer:
Explanation:
NEW QUESTION # 68
A company wants an agent to retrieve real-time answers from a large, frequently updated document repository stored outside Dataverse, with strong relevance ranking. Which knowledge source should you configure?
Answer: C
Explanation:
Azure AI Search provides indexed, relevance-ranked retrieval over large and frequently updated content, making it the preferred grounding source for enterprise-scale RAG scenarios compared to static file uploads.
NEW QUESTION # 69
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.
Answer:
Explanation:
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
NEW QUESTION # 70
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