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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 2: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 3: Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
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NEW QUESTION # 116
Drag and Drop Question
A company needs to ground an agent in Copilot Studio answers using live enterprise data from a supported system via a Microsoft Power Platform connector. To meet the business needs, the builder must meet the following requirements:
- Authenticate using a valid connection.
- Add the connector as a real-time knowledge source.
- Select the tables for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for the agent.
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:
Step 1: Add a knowledge source
Initiate: You start in the Knowledge tab to trigger the addition.
Step 2: Select the real-time connector from the Add knowledge dialog
Identify: You pick the specific system/connector from the menu.
Step 3: Sign in and create a new connection or reuse an existing connection Authenticate: You log in to ensure permissions to the enterprise data.
Step 4: Select the tables to include as the knowledge source
Configure: You isolate the exact tables needed for grounding.
Step 5: Add the connector to the agent
Finalize: You save and bind the source to your agent.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-real-time-connectors
NEW QUESTION # 117
Drag and Drop Question
A company wants to extend an agent in Copilot Studio by calling an external REST API to retrieve and update data.
To meet the business needs, the REST API must be added following a correct dependency order.
You need to add a REST API to the agent so it can be invoked during conversations.
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:
You must configure authentication and the API tool before you can successfully configure the endpoint details and test it.
To add an external REST API to an agent in Copilot Studio, you must follow this exact dependency order:
Step 1: Configure authentication for the API
Setup security credentials first.
This includes API keys or OAuth.
Without this, the connection will fail.
Security First: Copilot Studio requires a valid connection object to save and route endpoint requests.
Step 2: Add the REST API tool.
Import or create the action connector.
This registers the tool in Copilot.
Tool Registration: The agent needs to recognize the tool wrapper before you can customize its internal endpoint paths.
Step 3: Configure the API endpoint details.
Define specific paths and methods.
Map input and output parameters.
Step 4: Test the API configuration
Run validation checks in real-time.
Ensure data flows correctly.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
NEW QUESTION # 118
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 using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?
Answer: A
Explanation:
Defining test sets of prompts and expectations is the correct and recommended action to take.
Microsoft Copilot Studio includes a built-in feature specifically designed for this purpose called Agent Evaluation. This framework replaces subjective spot-checking with automated, scalable regression testing to ensure your agent behaves safely and consistently before you expand user access.
Reference:
https://techcommunity.microsoft.com/blog/copilot-studio-blog/agent-evaluation-in-microsoft-copilot-studio-is-now-generally-available/4507392
NEW QUESTION # 119
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: To export, import, and manage agents between environments, you need to create and use a custom solution.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm
NEW QUESTION # 120
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 plan how Fabrikam Inc. will reuse shared components across multiple agents while limiting who can change the shared components.
Which approach should you use for each requirement? To answer, move the appropriate components to the correct requirements. You may use each component 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: Share the component collection with teammates while controlling edit access.
Prevent shared assets from being modified by most builders.
The best action to take is to share the component collection with teammates while controlling edit access.
In Microsoft Copilot Studio, component collections are designed specifically to centralize and reuse assets (like topics, knowledge sources, and actions) across multiple separate agents.
When configuring a component collection, administrators or collection owners can utilize built-in sharing permissions to explicitly assign roles to individual makers or groups:
Box 2: Create a component collection and move shared components into it Reuse the same set of components across multiple agents without copying.
The best action to take is to create a component collection and move shared components into it.
In Microsoft Copilot Studio, Component Collections provide a central container to package and share topics, knowledge bases, actions, and entities across multiple agents without duplicating the assets. Once a collection is created, you can establish governance controls (such as managing it within a managed solution) so that makers on other agents can utilize the shared resources but cannot modify them.
Box 3: Restrict component collection to the primary agent
Limits a shared set of components so it can be used only be its intended primary agent.
The best action to take is to restrict component collection to the primary agent. In Microsoft Copilot Studio, you can restrict a shared set of components so that it can be used only by its intended agent. This feature helps teams modularize large or sensitive agents and prevents unauthorized reuse.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-export-import-copilot-components
NEW QUESTION # 121
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