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| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions |
| Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Monitoring performance and analytics - Iterative improvement and lifecycle management |
| Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| 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 |
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NEW QUESTION # 28
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 # 29
A company has agents in Copilot Studio.
The company needs to prevent the agents from using disallowed connectors and insecure data flows. Administrators must be able to enforce the governance controls to prevent and report violations.
You need to enforce governance controls for agents.
What should you do?
Answer: B
Explanation:
To enforce governance controls, prevent Copilot Studio agents from using disallowed connectors, and restrict insecure data flows, the correct action to take is to Configure data policies.
Real-Time Prevention: Data policies (Data Loss Prevention or DLP) function as a critical build- time and runtime boundary. If an agent relies on a blocked or disallowed connector, Microsoft Copilot Studio immediately blocks execution or publishing and surfaces an error to the maker or user.
Connector Isolation: Admins use the Power Platform admin center to categorize connectors into Business, Non-Business, or Blocked groups. This directly prevents insecure data flows by ensuring data cannot be leaked from business systems (like Microsoft Dataverse) to unapproved external channels or APIs.
Reporting & Auditing: Violations of these data policies are logged and can be tracked centrally by administrators to report and monitor compliance across environments.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/admin-data-loss-prevention
NEW QUESTION # 30
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does not use APIs. The builder needs that UI automation can run in the supported execution context and needs a way to inspect how the automation behaves during testing conversations. to validate To meet the business needs, the solution must meet the following requirements:
* Enable the agent to perform UI automation against the legacy application.
* Inspect execution details for the automation during conversations.
You need to configure the agent based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Computer use is the Copilot Studio capability for operating a website or desktop application ' s graphical interface when an API is unavailable. Enabling it gives the agent a UI automation tool driven through the supported machine execution context. During testing, the builder can open the computer-use activity or remote session from the agent ' s activity view to observe steps, inspect logs, and understand failures in real time. Adding a desktop flow is a different deterministic automation technology and is not required by the stated computer-use design.
Publishing alone does not provision the UI automation or its machine. A custom connector cannot automate screen controls when the application exposes no API. The tool should be configured with narrowly scoped instructions, a healthy supported machine, protected credentials, and human confirmation for sensitive actions. Because computer-use behavior is probabilistic and visual interfaces change, the team should test alternate screen states, pop-ups, timing, and recovery, then monitor production sessions under strict access and retention controls. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure and monitor computer use for an agent.
NEW QUESTION # 31
Which two actions should you perform before making the agent available on both channels? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
A . Configure prompt modifications at the system level. Centralized instructions enforce the required tone, disclaimers, response boundaries, and refusal behavior consistently across generative responses. Microsoft documents that prompt modification can define an agent's personality, response format, permitted subjects, and behavior when an answer is unavailable. This avoids inconsistent manual changes across individual topics. Microsoft: Prompt modification D . Configure Power Platform DLP policies. DLP policies govern which connectors, knowledge sources, HTTP endpoints, and channels the agent may use. They should be configured and validated before publication because a policy violation can prevent the agent from being published. DLP also protects against unauthorized data movement between business and non-business connectors. Microsoft: Data policies for agents Why the others are incorrect: B creates duplicated, inconsistent disclaimers. C incorrectly treats moderation as a web-channel setting; moderation is configured for generative behavior rather than enforced only by embedding settings. E applies safeguards after publication and assumes filters must be configured separately for every channel, which would not provide the required centralized governance.
NEW QUESTION # 32
A company is configuring generative answers for an agent in Copilot Studio.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization ' s requirements.
What should you do?
Answer: E
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From [Microsoft AB-620 study guide]: Azure AI Search must be configured as the authoritative retrieval source, with ungrounded or general-knowledge responses disabled. In the retrieval-augmented generation process, Copilot Studio first reformulates the user's question, searches the connected vector index, and supplies relevant results to the Microsoft Foundry-hosted model for response generation. Requiring grounding prevents the model from answering solely from its pretrained knowledge when Azure AI Search returns no sufficiently relevant content. In that situation, the agent should return no generated answer and follow its configured fallback or escalation behavior. Selecting a Foundry model alone does not enforce grounding because model selection controls the generation layer, not the retrieval requirement. Citations provide traceability but likewise do not prevent an unsupported answer.
Uploading duplicate documents would introduce another knowledge store and undermine Azure AI Search as the controlled enterprise index. The Azure AI Search connection should identify the intended vector index and use semantic ranking where appropriate. Testing should confirm that valid queries return supported answers and citations, while out-of-scope queries produce no ungrounded response. Study Guide alignment: Integrate and extend agents in Copilot Studio # Connect to Azure AI Search; Integrate agents with Azure # Configure generative answers by using Azure AI Search with Foundry.
NEW QUESTION # 33
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