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| Section | Objectives |
|---|---|
| Topic 1: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Topic 2: Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| Topic 3: Governance, Security, and Compliance | - Data protection and responsible AI practices - Environment management in Power Platform - Managing access control and authentication |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Topic 5: Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio |
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NEW QUESTION # 48
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 # 49
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: B,E
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 # 50
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 # 51
You need to evaluate whether the current configuration decisions for the Blue Yonder Copilot agent comply with the company ' s security and governance policies.
Which compliance status should you assign to each configuration decision? To answer, move the appropriate compliance statuses to the correct configuration decisions. You may use each compliance status 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:
NEW QUESTION # 52
A team is preparing to manage agents in Copilot Studio by using ALM from Power Platform.
A solution must be created before agents and configuration of assets can be managed through ALM.
You need to create a solution that can contain agents and related assets.
Which three actions should you perform in order? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
1. Open the Solutions area in Copilot Studio; 2. Define the solution name and publisher; 3. Save the solution container.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Solution creation begins in the Solutions area because that is the Copilot Studio entry point to the Power Platform solution explorer. The maker then supplies the solution name and publisher. The publisher is not cosmetic: it determines the customization prefix and forms part of the ownership and naming strategy for components that will move through ALM. Saving creates the solution container, after which agents, flows, connection references, environment-variable definitions, prompts, and other dependent assets can be added. Reviewing the solution details page can follow creation but is not one of the required creation steps in this three-action sequence. A custom solution is preferable to relying on the default solution for controlled export, source management, and pipeline deployment. Before export, the team should use dependency checks to ensure all assets required by the agent are included and should avoid including unrelated components. Downstream releases normally import a managed build of the solution, while development remains unmanaged so authorized makers can continue editing. Study Guide alignment: Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create a solution.
NEW QUESTION # 53
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