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| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Publishing and deploying copilots - Iterative improvement and lifecycle management |
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
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34. Frage
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. Choose two.
NOTE: Each correct selection is worth one point
Antwort: B,E
Begründung:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Fabrikam needs both reusable prompt behavior and explicit model governance. A reusable custom prompt template provides the stable summarization instructions, expected structure, and input/output contract that can be applied wherever summarization is required. Within that prompt's configuration, selecting the approved model from the Microsoft Foundry model catalog controls which model generates the output. These are separate controls: the template governs the task, while the model selection satisfies the approved-model requirement. Publishing only deploys the configuration already selected; it does not automatically choose or enforce an approved model. Citations are valuable for grounded policy answers but do not determine the model used for summarization. Azure AI Search is the retrieval system for indexed enterprise policy content and is not required merely to apply a long-form summarization template. The prompt should be tested with representative transcripts for completeness, classification accuracy, output schema, safety, and latency. Where Fabrikam already uses a connected Foundry agent for this specialist function, the prompt and model settings should remain owned by that component rather than being duplicated in the primary agent. Study Guide alignment: Integrate and extend agents in Copilot Studio > Integrate agents with Azure > Configure custom prompts to use the Foundry model catalog.
35. Frage
Drag and Drop Question
A company is building an agent in Copilot Studio topic that must retrieve real-time status information from an external REST API using a Send HTTP request node.
To meet the business needs, the topic must meet the following requirements:
- The request must include the required authentication header.
- The request must call the endpoint using the correct HTTP method.
- The response must be configured with an appropriate response data
type based on a schema and saved so the topic can reuse the returned
values.
You need to configure the Send HTTP request node.
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. 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: Add required headers to the HTTP request
To configure the Send HTTP request node to include the required authentication header, you should add required headers to the HTTP request.
Authentication details for external REST APIs (such as API keys or Bearer tokens) are almost universally passed inside the metadata of the call, which is managed in the Headers.
Box 2: Set the method to GET in the HTTP request.
To retrieve real-time status information from an external REST API using a Send HTTP request node in Copilot Studio, you should set the method to GET in the HTTP request.
The standard HTTP GET method is specifically designed to fetch or retrieve data from a server without modifying it.
Box 3: Select JSON data type and save response to a variable
When retrieving real-time data, the primary configuration requirement is telling Copilot Studio how to interpret the incoming data (JSON) and storing it in a custom variable so subsequent nodes in your topic can use it.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-http-node
36. Frage
A team has an existing agent in Copilot Studio and must move it to a different target location without rebuilding the agent. Some builders use Copilot Studio in the web app, while others use Copilot Studio in Microsoft Teams.
You need a supported approach to move the existing agent to the target location by using ALM practices. The solution must avoid rebuilding the agent.
What should you do?
Antwort: C
Begründung:
Microsoft Copilot Studio uses Power Platform solutions as the supported packaging and transport mechanism for application lifecycle management. Because the agent already exists, the correct process is to create a custom solution in the source environment and add the existing agent to that solution. The solution captures the agent and its dependent components so they can be exported as a package and imported into the target environment. This avoids rebuilding topics, variables, tools, and other agent configuration manually.
Power Platform pipelines can automate deployment after the agent has been packaged, but a pipeline does not independently discover and package an agent that has not been added to a solution. Consequently, option A omits a required dependency. Manually duplicating the agent, as proposed in option C, is not a controlled ALM process and introduces configuration drift between environments.
Option D is also incorrect. Agent topics and related components should not be removed directly from a solution to prepare an export. Microsoft warns that deleting or manipulating dependent agent components independently can create missing dependencies and cause export or import failures.
After import, environment-specific items-such as authentication, connections, environment-variable values, and channels-may require verification before the agent is published in the target environment. Relevant study-guide areas are Manage solutions , Export and import agents , and Implement ALM . See Export and import agents using solutions .
37. Frage
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 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:
In Microsoft Copilot Studio, when you need your primary agent to interact with a cross-platform, external agent owned by a partner organization, you use the standardized open Agent2Agent (A2A) protocol.
Scenario:
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.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-agent-to-agent
38. Frage
Drag and Drop Question
A company plans to use Copilot connectors to ground answers from a third-party system for an agent in Copilot Studio.
To meet the business needs, responsibilities for configuring and using Copilot connectors must be separated, based on the following requirements:
- For tenant administration, the connector must be available at the
tenant level.
- For agent runtime behavior, answers must be grounded from authorized
sources.
- For builder configuration, you must add the connector to the agent.
You need to determine how Copilot connector set-up responsibilities are handled across tenant, runtime, and builder stages.
What should you configure for each requirement? To answer, move the appropriate configuration 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: Configure the Copilot connector in Microsoft 365 Admin Center
Microsoft 365 Copilot connectors (Graph connectors) must be enabled, authenticated, and configured centrally at the tenant level via the Microsoft 365 Admin Center (Copilot > Connectors). This establishes organizational data availability, schema mapping, and access permissions across the whole tenant.
Box 2: Call the connector knowledge source.
When an end user interacts with the agent at runtime, the execution engine dynamically queries and calls the connector knowledge source to retrieve authorized context and ground the generated response.
Box 3: Add the Copilot connector as a knowledge source.
Maker/builder actions in Copilot Studio involve authoring the agent by choosing to add the Copilot connector as a knowledge source so the agent knows where to retrieve enterprise information from.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/connectors/overview
https://learn.microsoft.com/en-us/microsoft-365/copilot/connectors/manage-connector
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/agent-builder-add-knowledge
https://learn.microsoft.com/en-us/microsoft-copilot-studio/copilot-connectors-in-copilot-studio
39. Frage
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