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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Publishing and deploying copilots - Iterative improvement and lifecycle management |
| Topic 2: 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 3: Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration |
| Topic 4: Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors |
| Topic 5: Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
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95. Frage
A company wants to move an agent, along with its connection references and environment variables, from development to test to production in a repeatable, automated way. What should you use?
Antwort: D
Begründung:
Solution-based ALM (via Power Platform pipelines or managed solution export/import) is the supported, repeatable way to move agents and their dependent components across environments.
96. Frage
A team is developing an agent in Copilot Studio and wants to evaluate its behavior before expanding access.
The team needs a repeatable, consistent method to test the agent by using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?
Antwort: B
Begründung:
A test set provides the controlled evaluation method required in this scenario. It consists of prepared prompts or questions together with defined expectations, such as an expected response or evaluation criterion. Copilot Studio can run the same test cases repeatedly, capture the agent's generated responses, and compare the results against the established baseline. Because the inputs and expectations remain fixed, changes between runs can be attributed more reliably to modifications in the agent's instructions, topics, tools, or knowledge configuration.
A qualitative review may be useful during exploratory testing, but it depends heavily on individual judgment and does not provide the same repeatability. Previous production sessions also contain uncontrolled user inputs and changing conversational context, so they are unsuitable as a standardized baseline. Publishing the agent to additional channels expands exposure rather than validating response quality.
Telemetry and analytics are valuable after deployment for monitoring fallback frequency, topic usage, engagement, containment, and other operational behavior. However, analytics alone do not execute a fixed collection of interactions or compare each response with a predefined expectation. They therefore complement formal evaluation rather than replace it.
The appropriate action is to define and repeatedly execute a test set containing prompts and expected outcomes. Relevant study-guide areas are Evaluate agent responses , Create and run test sets , and Analyze evaluation results . See Agent evaluation overview .
97. Frage
Drag and Drop Question
A company is building a Copilot Studio solution that must answer policy questions, retrieve operational metrics from structured data, and execute authenticated updates in backend systems.
The company decides to use multiple specialized agents rather than a single monolithic agent.
Custom agents for each action already exist.
To meet the business needs, the solution must meet the following requirements:
- The solution must retrieve up to date metrics from structured data.
- The solution must answer policy questions using curated knowledge.
- The solution must execute authenticated updates during conversations.
You need to select the appropriate agent design for each requirement.
Which approach 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.
Antwort:
Begründung:
Explanation:
Box 1: Delegate the request to a tools-first agent
To retrieve up-to-date operational metrics from structured data in a multi-agent Copilot Studio architecture, you should configure the parent system to delegate the request to a tools-first agent.
Specialized Actions: In Copilot Studio, custom connectors and APIs that query or update structured data are configured as tools.
Dynamic Execution: A tools-first agent is specifically designed to evaluate the user's intent, select the correct authenticated API/connector (the tool), and pass parameters to retrieve real-time data.
Delegation Overlap: Knowledge-focused agents are optimized for RAG (retrieval-augmented generation) over static, unstructured files/documents rather than dynamic operational metrics.
Box 2: Delegate the request to a knowledge-focused agent.
To meet the requirement of answering policy questions using curated knowledge within a multi- agent Copilot Studio solution, you should delegate the request to a knowledge-focused agent.
Box 3: Delegate the request to a tools-first agent
To execute authenticated updates and actions in backend systems, you should delegate the request to a tools-first agent in Copilot Studio. While other specialized agents handle document synthesis or data analysis, a tools-first agent is configured to process API-based actions and plugins with proper end-user authentication.
In multi-agent architecture within Microsoft Copilot Studio, agents are typically categorized by their core operational focus. A tools-first agent is explicitly designed to prioritize taking specific actions-such as executing backend APIs, running plugins, or triggering workflows-making it the designated agent type for processing transactional and authenticated system updates.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/multi-agent-patterns
98. Frage
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?
Antwort: C
Begründung:
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.
99. Frage
You need to enable Operations Concierge to delegate shipment tracking inquiries according to Fabrikam Inc.'s defined architecture and technical requirements.
Which integration approach should you use?
Antwort: D
Begründung:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The partner capability is described as an agent available only through a standardized agent-to-agent endpoint. That is the defining use case for an Agent2Agent connection. In Copilot Studio, the primary agent is configured with the external agent's A2A message endpoint and the applicable authentication details, after which orchestration can delegate shipment-tracking requests to it. An MCP server exposes tools or resources rather than an independently orchestrated partner agent, so option C changes the integration contract. An indexed knowledge source is also unsuitable because shipment status is dynamic and the requirement is delegation, not retrieval from a copied corpus. Generative responses in the primary agent would have no authoritative live shipment source and would violate the defined architecture. The A2A description should identify shipment tracking precisely so that it does not compete with unrelated agents or tools. Because external-agent support can be preview functionality, Fabrikam should also validate regional availability, authentication, error behavior, latency, and governance before production use. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Create a multi-agent solution by using A2A protocol.
Topic 1, Fabrikam inc.
Background
Current Environment:
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.
Business Requirements:
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 is allowed to edit shared assets. However, all agent authors must be able to use them.
Technical Requirements:
The Fabrikam Inc.'s 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, Fabrikam 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.
100. Frage
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