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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build and extend agents in Copilot Studio | 40โ45% | - Implement advanced capabilities
|
| Topic 2: Plan and configure agent solutions | 30โ35% | - Configure agent foundations
|
| Topic 3: Test, deploy, and manage agents | 20โ25% | - Test and validate agent performance
|
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NEW QUESTION # 127
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 configure Operations Concierge so that prompt-driven summarization behavior aligns with Fabrikam Inc.'s architectural requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
Scenario: Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
[C] Model Selection: Choosing a specific model from the Foundry catalog ensures that your classification and summarization requests are routed directly to the correct, optimized LLM backend within the Microsoft Foundry ecosystem.
[E] Custom Prompt Templates: Creating and applying a reusable template ensures consistent formatting, tone, and logic across all areas where your agent handles summarization and classification tasks.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/bring-your-own-model-prompts
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node
NEW QUESTION # 128
You need to configure the agent in Copilot Studio to use internal and external partner knowledge sources to answer user questions about the airline services.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
* A. Use a Microsoft Graph connector to index the partner's travel advisory content. Microsoft 365 Copilot connectors-formerly called Microsoft Graph connectors-index non-Microsoft enterprise content into Microsoft Graph, making it available for semantic knowledge grounding and citations.
Microsoft Learn: Copilot connectors
* D. Add the internal policy documents as a knowledge source. The SharePoint PDFs and policy documents should be connected as agent knowledge so generative answers can retrieve and summarize the relevant content. This is scalable and avoids manually maintaining document-specific topics.
Microsoft Learn: SharePoint knowledge sources
B violates the requirement to avoid manually authored Q & A topics. C could produce ungrounded responses from unapproved public sources and would not satisfy the airline's accuracy, security, or compliance requirements.
NEW QUESTION # 129
A company uses multiple Copilot Studio agents that perform specialized tasks.
The company needs to enable one agent to directly delegate and invoke another agent within Copilot Studio by using a standard Copilot Studio interface.
You need to configure collaboration among agents by using Copilot Studio.
What should you do?
Answer: B
Explanation:
The correct step to take is to provide A2A (Agent-to-Agent) endpoint information for the target agent.
Standard Multi-Agent Protocol: The Agent-to-Agent (A2A) protocol is the open, standard framework specifically designed to allow independent agents to directly communicate, discover capabilities via agent cards, and delegate workflows across standard interfaces. Providing the A2A endpoint information allows the orchestrating agent to securely hand off specialized tasks to the target agent.
Incorrect:
[Not A]
Adding the target agent as a Microsoft Fabric Data Agent is a separate, specialized pattern reserved strictly for reasoning over heavy data science pipelines and querying enterprise data lakes (like Lakehouses or Semantic Models). It is not used for standard cross-framework agent collaboration or general delegation within the native Copilot Studio interface.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agents-experience/add-agent-connected
NEW QUESTION # 130
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: D,E
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 # 131
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 capability already exist.
To meet the business requirements, the solution must:
* Retrieve up-to-date metrics from structured data.
* Answer policy questions by using curated knowledge.
* Execute authenticated updates during conversations.
You need to select the appropriate agent design for each requirement.
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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Configuration
The solution must retrieve up-to-date metrics from structured data.
Delegate the request to a data-access agent.
The solution must answer policy questions by using curated data sources.
Delegate the request to a knowledge-focused agent.
The solution must execute authenticated updates during conversations.
Delegate the request to a tools-first agent.
A data-access agent is appropriate for operational metrics because it specializes in retrieving current information from structured systems such as Microsoft Fabric, Dataverse, SQL databases, or real-time Power Platform connector sources. Its scope and instructions can be optimized for analytical queries and structured data retrieval.
A knowledge-focused agent is designed around authoritative, curated content such as policy documents, SharePoint libraries, approved websites, and enterprise knowledge bases. Its instructions and knowledge- source descriptions can constrain responses to approved material, making it the appropriate specialist for policy questions.
A tools-first agent is the correct design for authenticated updates. Tools-including connectors, agent flows, REST APIs, custom connectors, and MCP tools-allow an agent to interact with backend systems and perform transactional operations. Connections can use the appropriate user or service authentication strategy, while tool inputs and outputs control the requested update.
Delegating all three responsibilities to a single agent would recreate the monolithic design that the company explicitly wants to avoid. Separating the capabilities improves modularity, privilege isolation, independent maintenance, and orchestration accuracy. The primary agent should use clear connected-agent descriptions so it can select the appropriate specialist at runtime. Relevant study-guide topics are Design multi-agent solutions , Configure multi-agent collaboration , Connect to enterprise knowledge sources , and Add tools to agents . See Multi-agent orchestration patterns and Add tools to custom agents .
NEW QUESTION # 132
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