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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - Monitoring performance and analytics |
| Topic 2: 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 |
| Topic 3: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior |
| Topic 4: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| Topic 5: Governance, Security, and Compliance | - Data protection and responsible AI practices - Environment management in Power Platform - Managing access control and authentication |
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NEW QUESTION # 36
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:
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 # 37
A company needs to ground an agent's answers in Copilot Studio by using live enterprise data from a supported system through a Microsoft Power Platform connector.
To meet the business requirements, the builder must:
* Authenticate by using a valid connection.
* Add the connector as a real-time knowledge source.
* Select the tables used for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for 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:
The process begins from the agent's Overview or Knowledge page, or from the properties of a generative answers node, by selecting Add knowledge . This opens the catalog of supported knowledge-source types.
The builder must then select the required Power Platform connector from the available real-time connectors, using the advanced selections if the connector is not displayed in the featured list.
Authentication must occur before table selection because Copilot Studio needs an authorized connection to access the target system and discover its available schema. The builder signs in and either creates a new connection or reuses a valid existing connection. After selecting the target location and completing authentication, Copilot Studio presents the tables or entities available through that connection.
The builder then selects only the tables required for knowledge grounding. Limiting the selection improves relevance and reduces unnecessary exposure of enterprise data. After optionally supplying the knowledge- source name, description, synonyms, or glossary definitions, the builder selects Add to agent to complete the configuration.
This is a real-time knowledge integration: connector requests retrieve current data at runtime instead of treating the connector as a static uploaded document. Relevant study-guide topics are Connect to Microsoft Power Platform connectors , Configure advanced responses with custom knowledge sources , and Connect to enterprise knowledge sources . See Add Power Platform connectors as real-time knowledge .
NEW QUESTION # 38
An agent calls a flow that intermittently produces unexpected results during execution. The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Flow run history provides the chronological record needed to identify which executions succeeded, failed, timed out, or behaved differently. Opening the failed run details then exposes the action-level inputs, outputs, status, duration, connection errors, and failure message that explain the inconsistent result. These two views support evidence-based diagnosis without changing the flow before the cause is known. Updating the trigger, increasing a timeout, or changing connection behavior are potential remediations only after the failure pattern has been established. The Analytics summary is useful for aggregate trends but lacks the full payload and step sequence of an individual run. The Activity tab's Error column can help locate failures, but the question asks for the two complete diagnostic actions and the detailed run inspection is the more direct evidence. Reviewers should compare a failed run with a successful run using the same input, check transient versus deterministic errors, and redact or restrict access to sensitive data captured in run history. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Monitor agent flows.
NEW QUESTION # 39
Drag and Drop Question
A company is designing an agent flow that includes human in the loop stages during execution.
The company requires that the agent flow perform the following actions:
- Must wait for a human decision before it resumes.
- Must collect information and then continue execution.
You need to configure the flow behavior.
Which flow behavior should you configure for each stage? To answer, move the appropriate flow behaviors to the correct stages. You may use each flow behavior 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: Wait for response and branch based on the decision
The best action to take is Wait for response and branch based on the decision because a binary or multi-path approval requires distinct logical paths (such as proceeding if approved or canceling/revising if rejected) rather than just logging the text input.
Box 2: Wait for response and capture inputs
The correct answer is Wait for response and capture inputs.
Captures Data: The prompt explicitly states that the agent must "collect information" before moving forward.
Pauses Execution: To collect this information from a human, the workflow must pause ("Wait for response") and hold the collected data ("capture inputs") to use in the subsequent steps.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/flows-advanced-approvals
NEW QUESTION # 40
Drag and Drop Question
A company integrates an MCP service that exposes ticket-management operations.
The MCP service requires authenticated requests and exposes multiple callable operations that must be selectively governed for agent use.
To meet the business needs, the MCP configuration must meet the following requirements:
- Only the allowed capabilities must be callable during conversations.
- Requests must succeed without embedding credentials in topic steps.
- The agent must be configured to send requests to the correct backend.
You need to configure MCP tools for the agent.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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: CreateTicket, EscalateIncident, GetTicket, UpdateSLA
Granular Governance: Copilot agents govern capabilities by explicitly managing the individual tools, functions, or operations they are allowed to call during a session. Selecting specific operations like CreateTicket or GetTicket ensures the agent stays within its permitted scope.
Incorrect:
API Keys handle authentication and iden3tity, not the selective restriction of specific sub- operations.
Server URLs handle routing and network connectivity to the Model Context Protocol (MCP) host, not function-level permissions.
Box 2: API key header X-API-Key
Authentication Security: Setting up an API key header (like X-API-Key) at the connection or agent configuration level ensures that credentials are automatically and securely injected into HTTP request headers by the platform.
Zero Credential Leakage: This satisfies your strict constraint that requests must succeed without embedding credentials in topic steps or hardcoding them into the LLM orchestration logic.
Selective Governance: Once the authenticated channel is safely established via headers, the platform's API policies or Copilot's action guardrails can selectively govern which operations are exposed to the agent.
Box 3: Server URL
To configure a Copilot agent to send requests to the correct backend service in a Model Context Protocol (MCP) integration, you must configure the Server URL setting.
When adding an MCP server using the onboarding wizard or custom connectors in Microsoft Copilot Studio, the Server URL is the primary endpoint used to establish the connection and discover the available tools. Once connected, Copilot can selectively govern which callable operations (like CreateTicket or EscalateIncident) are enabled for the agent directly through the Tools & Connections UI.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-mcp
NEW QUESTION # 41
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