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| Section | Weight | Objectives |
|---|---|---|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
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NEW QUESTION # 126
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,E
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 # 127
A company is designing an agent flow that includes human in the loop stages during execution.
The company requires that the agent flow perform the following actions:
Must wait for a human decision before it resumes.
Must collect information and then continue execution.
You need to configure the flow behavior.
Answer:
Explanation:
NEW QUESTION # 128
An agent in Copilot Studio must complete tasks by automating interactions with a legacy desktop application that does not use APIs.
During testing, the builder must confirm that the automation runs in a supported execution context and can inspect how each automation step executes during conversations.
To meet the business needs, the solution must:
* Execute UI automation in a supported, platform-managed environment.
* Provide visibility into how automation steps run during agent 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.
Answer: B,D
Explanation:
The computer use tool enables a Copilot Studio agent to operate graphical interfaces when an application does not expose a suitable API. It uses a computer-using model, virtual mouse, keyboard, and visual reasoning to select controls, enter information, and navigate desktop applications. The builder must configure an eligible Windows execution target, such as a supported Cloud PC or registered machine, and provide clear task instructions, connection details, credentials, and permitted applications.
Execution visibility is provided through the agent's runtime activity information. From the agent's Activity section, the builder can select an individual run and inspect its activity map or transcript. Computer-use testing also provides a step-by-step log and a preview of the actions performed on the configured machine.
This enables the builder to confirm which controls were selected, how the automation progressed, and where failures occurred.
A knowledge source cannot interact with a graphical interface, while a custom connector requires an API.
Publishing makes a completed configuration available to users but does not itself configure UI automation or provide step-level diagnostic visibility.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Add tools to agents # Configure and monitor computer use for an agent . See Automate web and desktop apps with computer use and Monitor computer use .
NEW QUESTION # 129
A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must select an evaluation method that meets the following requirements:
* Use a fixed set of prepared interactions.
* Determine responses against a predefined baseline.
* Support consistent comparison across repeated test runs.
You need to choose an evaluation method that meets the requirements.
What should you do?
Answer: A
Explanation:
A standardized evaluation matrix is the appropriate choice because it establishes fixed test inputs, expected responses, and consistent scoring criteria. In Copilot Studio, this approach is implemented by creating a reusable test set containing prepared test cases and applying appropriate evaluation methods to each case.
The predefined baseline can consist of expected answers, required keywords, expected tool usage, or custom quality criteria. Depending on the required precision, the team can use exact match, text similarity, compare meaning, keyword match, tool-use, or custom evaluation methods. Copilot Studio records the generated response and evaluates it against the configured expectation, producing repeatable scores and pass-or-fail results.
The same test set can be executed multiple times and the resulting runs compared. This provides an objective way to detect regressions after changes to instructions, topics, knowledge sources, tools, or models. A limited live pilot measures production outcomes but does not provide tightly controlled inputs. Manual transcript reviews and relying on a previous run are subjective and do not establish repeatable evaluation criteria.
Relevant study-guide area: Test and manage agents # Evaluate agent performance # Create a test set, choose an evaluation method, and review test results . See About agent evaluation , Choose evaluation methods , and Run evaluations and view results .
NEW QUESTION # 130
Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
- Each evaluation case is reported as meeting or missing the expected
response.
- Some evaluation cases fail repeatedly across several runs.
- Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Pass or fail status.
Based on the evaluation results, you can conclude the Pass or fail status.
Direct mapping: Measuring whether a case "meets" or "misses" an expectation is the definition of a binary pass/fail test.
Insufficient data for production: You cannot fully determine Production readiness because readiness requires broader metrics like latency, security, and user acceptance testing.
No diagnostic data: You cannot determine the Failure configuration because a simple "miss" label does not explain why the system failed or how it is misconfigured.
Box 2: Consistent outcomes
Based on the evaluation results, you can conclude that these are Consistent outcomes.
Definition of Consistency: Because the specific evaluation cases fail repeatedly across several runs, the behavior is predictable and stable, not random.
Box 3: Expected and generated responses:
The correct conclusion from these evaluation results is Expected and generated responses.
Expected and generated responses: The evaluation results explicitly show a side-by-side comparison between what the agent was supposed to say (expected response) and what it actually said (generated response). This allows you to conclude exactly how well the agent's outputs align with your test cases.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results
NEW QUESTION # 131
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