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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Topic 2: Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Topic 3: Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
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NEW QUESTION # 105
You need to prevent an agent from using connectors that could send data to non-approved cloud services outside your organization. What should you configure?
Answer: B
Explanation:
DLP policies classify connectors as business or non-business and block data flow between them, preventing an agent from combining approved and unapproved connectors in the same flow.
NEW QUESTION # 106
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
Users must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 107
A team has deployed an agent in Copilot Studio and needs to evaluate whether the agent is meeting its intended goals before expanding usage to a broader audience.
The team must evaluate agent performance using a structured and repeatable approach that produces actionable insights.
You need to select and apply an appropriate evaluation method by performing the required actions in the correct order.
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:
1. Define success criteria and evaluation objectives; 2. Select evaluation methods and metrics aligned to the criteria; 3. Collect interaction data and evaluation signals; 4. Review results and identify improvement opportunities.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Evaluation starts with a definition of success because the business objective determines what should be measured. A policy agent might prioritize grounded accuracy and citations, while a transactional agent also needs tool-selection and completion measures. Once objectives and thresholds are defined, the team selects suitable methods and metrics, such as compare-meaning, exact match, keyword match, expected tool use, or a custom quality rubric. The test is then executed to collect responses, scores, resource usage, transcripts, and activity signals.
Only after evidence exists should reviewers interpret the results, isolate weak scenarios, and prioritize changes. Choosing metrics before defining success risks optimizing an irrelevant score; reviewing before collecting consistent evidence encourages anecdotal conclusions. Improvement should be iterative: change the knowledge source, instructions, tool metadata, or expected outcome one at a time and rerun the same set. This sequence produces an auditable link between business intent, measurement design, observed performance, and the remediation decision. Study Guide alignment: Test and manage agents > Evaluate agent performance
> Choose an evaluation method; Review test results.
NEW QUESTION # 108
A company integrates a Model Context Protocol (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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Correct setting
Only the allowed capabilities must be callable during conversations.
CreateTicket, EscalateIncident, GetTicket, UpdateSLA
Requests must succeed without embedding credentials in topic steps.
API key header X-API-Key
The agent must be configured to send requests to the correct backend.
Server URL
MCP servers can expose several tools, but an agent should receive access only to operations approved for its business role. Therefore, the specified ticket operations-CreateTicket, EscalateIncident, GetTicket, and UpdateSLA-represent the permitted capability set. In Copilot Studio, all MCP tools are initially enabled through Allow all . To enforce selective governance, the author disables Allow all and enables only the approved individual tools. Newly added server tools then remain disabled by default.
The X-API-Key header addresses authentication. The API key is configured as part of the MCP connection rather than embedded in individual topic nodes. During execution, Copilot Studio places the supplied credential in the configured request header, keeping authentication management separate from conversation logic.
The Server URL identifies the MCP endpoint to which Copilot Studio sends protocol requests. An incorrect URL would direct the agent to the wrong service or prevent MCP initialization and tool discovery.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Add tools to agents # Configure MCP tools . See Connect an agent to an existing MCP server and Customize MCP tool selection
NEW QUESTION # 109
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.
You need to enable collaboration requirements for Operations Concierge.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
Publish the Service Desk Agent and Enable "allow connections from other agents" on the Service Desk Agent are the correct actions to take.
To enable agent-to-agent delegation (also known as sub-agents or orchestrating multiple agents) in Microsoft Copilot Studio, the secondary agent must be explicitly configured to accept hand-offs and then be made live.
Enable "allow connections from other agents": This setting acts as the security and architecture toggle. It exposes the Service Desk Agent's capabilities, topics, and actions so that a primary orchestrator agent can discover and communicate with it.
Publish the Service Desk Agent: A Copilot Studio agent cannot be called or utilized by another system or agent until its latest configuration and logic are compiled and made live via publishing.
Scenario:
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.
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 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.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5887259/why-does-invoking-an-existing-copilot-agent-added
NEW QUESTION # 110
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