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| Section | Weight | Objectives |
|---|---|---|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
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NEW QUESTION # 55
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 # 56
A company has an existing custom connector that is approved and available in the environment. A builder wants an agent in Copilot Studio to call the connector during a conversation to retrieve information from an internal system.
To meet the business needs, the solution must meet the following requirements:
The agent must make the connector available for topic steps.
The agent must run the connector call with a valid connection.
The connector call must receive the required input values at runtime.
You need to configure the agent so the custom connector can be used as a tool.
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.
Answer:
Explanation:
NEW QUESTION # 57
Case Study 2 - Fabrikam Inc.
Background
Fabrikam Inc. is a Canada-based manufacturer with a growing service organization that supports field technicians and internal operations teams. Fabrikam Inc. plans to launch a new internal agent solution named Operations Concierge to reduce time spent searching policy content, retrieving operational metrics, and executing routine transactions.
The agent will be used by three groups:
- Service coordinators who triage incoming service requests
- Field technicians who need guided procedures and parts availability
- Operations managers who monitor KPIs and exceptions
The agent solution must work in real-world operational conditions. Users often ask questions mid- call with a customer or while coordinating parts shipments. The agents require quick, reliable outcomes. As a result, Fabrikam Inc. requires the solution to:
- Provide grounded answers with traceability when it provides guidance.
- Retrieve real-time metrics when users ask for operational status.
- Execute authenticated updates when users initiate a flow (such as creating a parts request).
Fabrikam Inc. also expects the solution to be maintained by multiple makers and developers across the year. The company has experienced duplicated logic and inconsistent behavior across different agents. This project emphasizes reuse, governance, and maintainability across teams.
Current environment
Fabrikam Inc. runs three Microsoft Power Platform environments for agent development and release: Dev, Test, and Prod.
The team plans to build the agent and validate it in Dev and Test, then promote to Prod by using a controlled release process that supports repeatable deployments.
Fabrikam Inc. already has two assets the team wants to reuse:
- A partially completed Copilot Studio agent named Service Desk Agent, used by IT to create internal tickets and route requests
- A Microsoft Foundry agent created by a central AI team that performs specialized summarization and classification for long-form text (for example, summarizing call transcripts into an incident narrative) Fabrikam Inc. also has operational and knowledge data sources:
- A curated policy library (internal SOPs, service warranty rules, escalation criteria, and standard operating procedures)
- A set of indexed documents and procedures in an Azure AI Search service that supports vector search for the policy library
- A Microsoft Fabric workspace that includes a semantic model used by operations leadership for reporting Business requirements Fabrikam Inc. requires Operations Concierge to meet the following business requirements:
- Traceability requirement: When the agent provides policy guidance or procedural recommendations, users must be able to see where the answer came from.
- Metrics requirement: When users ask about service performance (backlog, SLA risk, parts shortages, dispatch delays), the solution must return up-to-date metrics in a structured format that operations managers can use in weekly reviews.
- Transaction requirement: The solution must support authenticated updates initiated during conversations, including creating a parts request and updating a service case status.
In addition, Fabrikam Inc. wants to avoid duplicating common assets across agents:
- The team must reuse the same set of escalation topics, MCP tool definitions, and a standard safety disclaimer across three different agents.
- Only the platform engineering group as allowed to edit shared assets. However, all agent authors must be able to use them.
Technical requirements
The Fabrikam Inc. solution architecture uses a multi-agent approach so that specialist responsibilities are isolated and can evolve independently.
The Operations Concierge (primary agent) must coordinate the following specialist capabilities:
- Policy and procedure Q&A: Use an enterprise knowledge source that supports indexed retrieval across the curated policy library and service procedures.
- Operational metrics: Delegate metric queries to a Fabric Data Agent that reads governed business data through the Fabric semantic model.
- Authenticated updates: Use tools exposed by an existing internal Model Context Protocol (MCP) server that provides transactional operations for the service organization.
- Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
Fabrikam Inc. will onboard two MCP servers as tools:
- PartsOps MCP server: exposes tools for parts availability checks and parts request creation.
The server requires per-user authentication because actions must be traceable to the requesting user.
- WarrantyRules MCP server: exposes a read-only tool for validating warranty coverage. The server uses an API key shared by the agent team.
Fabrikam Inc. has also defined a collaboration requirement with the existing Service Desk Agent:
- The primary agent must delegate IT-specific requests to the existing Service Desk Agent rather than reimplement ticket creation logic.
Finally, Fabrikarn Inc. plans to support a partner integration:
- For shipment tracking inquiries, Fabrikam Inc. will delegate to a partner-provided agent that is only available through a standardized agent-to-agent endpoint.
Issues and constraints
During early testing, Fabrikam Inc. found three recurring problems:
- Makers are copying and modifying the same components across agents, resulting in inconsistent disclaimers and duplicated tools.
- Users can obtain a correct answer, but the response is not consistently traceable to a source when the agent uses knowledge.
- The primary agent can route some requests, but specialist capabilities are not consistently delegated (for example, some metric questions are answered generatively instead of being routed to the Fabric Data Agent).
You are part of the engineering team responsible for correcting the design and configuration to meet the preceding requirements and constraints.
Drag and Drop Question
You need to connect Operations Concierge to Fabrikam Inc.'s Azure AI Search knowledge index while complying with security requirements.
Which configuration should you use 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.
Answer:
Explanation:
Explanation:
Box 1: Select the service principal as the authentication type
Ensure the Azure AI Search connection complies with the governance requirement for authenticated access.
Scenario:
A set of indexed documents and procedures in an Azure AI Search service that supports vector search for the policy library Box 2: Provide the Azure Search Endpoint URL in the connection details.
Ensure policy and procedure Q&A uses the required curated, indexed enterprise knowledge source.
Box 3: Provide the Azure Search Endpoint URL in the connection details.
Ensure the connection targets the Azure AI Search service instance that stores the indexed policy documents.
The best action to take is to Provide the Azure Search Endpoint URL in the connection details.
When connecting a Copilot agent to an external knowledge source like Azure AI Search, establishing the connection requires identifying the specific service host. Providing the Azure AI Search Endpoint URL ensures that the underlying connection infrastructure explicitly targets and authenticates against your specific Azure AI Search service instance. Once this service-level connection is validated, you are prompted in the next step to select or enter the specific index containing your documents.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
NEW QUESTION # 58
A company is building an agent that uses an agent flow to retrieve data from an external system and return structured output.
The company needs to create a flow that the agent can invoke to process requests and return results. To support this business need, the flow must meet the following requirements:
Accept parameters from the agent.
Execute an action to retrieve data from the database.
Ensure the agent receives the relevant output information.
Answer:
Explanation:
Explanation:
1. Create a new agent flow; 2. Define input values; 3. Add the database connector action and configure its connection; 4. Define output values returned to the agent; 5. Test the flow run.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The flow container must exist before its interface and implementation can be configured. Inputs are defined early so the agent has a typed contract for the values it will pass, such as an account ID or search criterion. The connector action then uses those inputs to query the database through a valid connection. Output parameters are mapped from the connector result so the calling agent receives only the relevant structured values rather than an opaque internal payload. Testing comes last because it validates the completed contract, connection, query, transformation, and returned output together. Omitting output definitions is a common reason an agent receives blank or unusable data even though the connector action itself succeeded. Input and output names should be descriptive, types must agree on both sides, and sensitive fields should be excluded unless genuinely required. After the flow passes direct tests, add or publish it as a tool and verify the end-to-end conversation path, including invalid input, empty-result, authentication, and timeout scenarios. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Create an agent flow; Add input and output parameters.
NEW QUESTION # 59
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.
NOTE: Each correct selection is worth one point.
Answer: D,F
Explanation:
[A]
To diagnose the root cause of intermittent, unexpected results and inconsistent behavior in a Copilot agent flow, the correct step is to inspect failed run details.
Selecting a specific failed run from the history allows you to view the exact inputs, outputs, and error messages for each action within that specific execution. This is the only way to pinpoint exactly why a flow intermittently produces unexpected data or behaves inconsistently during a precise moment in time.
[C]
Checking the Activity tab in Microsoft Copilot Studio is a critical diagnostic step. It lets you trace exact interactions, see the decisions the AI made, and check for specific error details to determine why the flow execution failed or behaved inconsistently.
Reference:
https://community.powerplatform.com/forums/thread/details/?threadid=09732bfd-2c63-f011-bec2-6045bdda2f4f
https://community.powerplatform.com/forums/thread/details/?threadid=ac8bc7a2-86c9-f011-bbd3-000d3a184f11
NEW QUESTION # 60
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