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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 2: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 3: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
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NEW QUESTION # 55
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 configuration to the correct requirements.
Answer:
Explanation:
Explanation:
Authentication # Add the required authentication headers; Retrieve data # Set the HTTP method to GET; Structured reusable response # Select a JSON/Record response type, define the schema, and save the response to a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The Send HTTP request node must express the API contract directly. If the service expects a token or key in a header, the required header is added using a protected variable or connection-derived value rather than hard-coded secret text.
GET is the correct method for retrieving status without changing the external resource; PATCH would imply a partial update. Selecting a structured JSON or Record response type and defining its schema allows Copilot Studio to type the returned fields. Saving that response to a topic variable makes values available for conditions, formatting, adaptive cards, or later tool calls. The schema must reflect optional fields, arrays, and nested records accurately; otherwise valid responses can be rejected or fields can appear empty. The topic also needs branches for non-success status codes, timeouts, invalid JSON, and authentication failure. Where a reusable connector or REST tool already exists, that managed abstraction may be preferable to embedding HTTP details in multiple topics, but the node configuration shown is correct for the stated direct-request requirement. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure advanced agent responses with API and Send HTTP requests.
NEW QUESTION # 56
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 design a solution that provides Fabrikam Inc. with a multi-agent design approach with existing agents.
Which approach should you use for each requirement? To answer, move the appropriate approaches to the correct requirements. You may use each approach 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: Delegate the request to a knowledge-focused agent
Scenario: Traceability requirement: When the agent provides policy guidance or procedural recommendations, users must be able to see where the answer came from.
The best action to take is to delegate the request to a knowledge-focused agent.
Pure Grounding and Citation Support: In Microsoft Copilot Studio and the Power Platform ecosystem, a knowledge-focused agent is explicitly engineered to retrieve information from designated repositories (such as SharePoint sites, Dataverse tables, or uploaded company policy manuals).
Built-in Transparency: When an agent relies on custom knowledge sources via Retrieval- Augmented Generation (RAG) or generative answers, it inherently provides inline citations and source links. This allows users to immediately verify exactly where the policy guidance or procedural recommendations originated.
Box 2: Delegate the request to a data-access agent.
Scenario: 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.
The best action to take is to delegate the request to a data-access agent.
Governed and Current Business Data: Tracking active metrics like backlog, SLA risk, and shortages demands direct, real-time query access to structured enterprise data stores (such as Microsoft Fabric or Microsoft Dataverse).
Optimized for Structured Reporting: Data-access specialists focus specifically on retrieving, grouping, and structuring current operational facts into accurate, review-ready formats for management.
Role Distinction: In contrast, a tools-first agent is designed primarily to trigger transactional processes or workflows across external systems (e.g., executing a parts request or updating a service case ticket) rather than retrieving and aggregating high-level analytics.
Box 3: Delegate the request to a tools-first agent.
Scenario: Transaction requirement: The solution must support authenticated updates initiated during conversations, including creating a parts request and updating a service case status.
The best action to take is to delegate the request to a tools-first agent.
Action-Oriented Design: A tools-first agent is specifically optimized to perform tasks, run workflows, and execute transactional actions-such as creating parts requests and updating status fields.
API Integration: It excels at leveraging connectors and Power Automate cloud flows to securely push updates back into your Microsoft Power Platform environment.
Separation of Concerns: Delegating to a specialized tools-first agent keeps your orchestration layer lightweight and prevents a single agent from becoming too complex to maintain.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-studio
NEW QUESTION # 57
Drag and Drop Question
A company uses a primary agent in Copilot Studio to handle user intake.
For some requests, the company wants the primary agent to delegate work to another Copilot Studio agent that already exists.
To meet the business needs, the solution must allow agents to perform the following on the connected agent:
- Must allow calls from other agents.
- Must allow agents to use the connected agent for collaboration.
- Must allow agents to invoke the connected agent in conversations.
You need to integrate the existing Copilot Studio agent with the connected agent.
Which setting should you configure 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.
Answer:
Explanation:
Explanation:
Box 1: Publish the connected agent.
To allow a primary Copilot Studio agent to delegate work to an existing secondary agent, the secondary agent must be published. For an agent to accept calls and be selectable by other agents, you must enable its capability to be used as a connected agent.
Box 2: Add the connected agent.
Add the connected agent: This is the configuration action required within the primary agent. By navigating to your primary agent's build/agents panel and choosing to add a connected agent, you establish the relationship that allows the primary agent's orchestration runtime to dynamically invoke and delegate conversation tasks to it.
Box 3: Add the connected agent.
In Microsoft Copilot Studio's multi-agent architecture, a primary orchestrator agent routes tasks to independent sub-agents using the Connected agents capability. To make an existing agent available to your primary agent so the orchestrator can autonomously invoke it during conversations, you must go to the primary agent's build tab, navigate to the components panel, and choose to add a connected agent.
Incorrect:
Configure connections to the connected agent: While connections exist in Copilot Studio, they are used to securely authenticate external systems, APIs, or tools (such as SharePoint or Dataverse), rather than connecting another standalone conversational agent.
Add the connected agent as an indexed knowledge source: Knowledge sources are used for uploading files, documents, websites, or databases to ground the AI's general knowledge. They are not used for routing workflows to independent agents.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-copilot-studio-agent
NEW QUESTION # 58
Drag and Drop Question
A development team is reusing agents in Copilot Studio across development, test, and production environments.
You need to ensure the agents meet the following requirements:
- Reusable components must support governed promotion across
environments.
- Environment-specific configuration must not be hard-coded.
- Deployments must support automated, multi-stage approvals.
You need to configure the agents based on the business requirements.
Which configurations 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.
Answer:
Explanation:
Explanation:
Box 1: Export as a component collection
Component Collections can be used to implement reusable components that support governed promotion across development, test, and production environments.
In Microsoft Copilot Studio, Component Collections act as shared containers that package together topics, actions, entities, or knowledge sources. Because these collections are stored natively within Microsoft Power Platform solutions, they natively support Application Lifecycle Management (ALM) pipelines for secure, governed environment deployment.
Box 2: Use connection references and environment variables
Box 3: Use an ALM pipeline
Power Platform pipelines natively support gated approval extensions. You can implement multi- stage approval workflows that halt a deployment request until your required business rules, automated validation, or stakeholders authorize the promotion to the next stage.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-export-import-copilot-components
NEW QUESTION # 59
A company has agents in Copilot Studio.
The company needs to prevent the agents from using disallowed connectors and insecure data flows. Administrators must be able to enforce the governance controls to prevent and report violations.
You need to enforce governance controls for agents.
What should you do?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform data policies are the preventive governance control for connectors, HTTP endpoints, knowledge sources, and combinations of data groups used by Copilot Studio agents. Administrators can classify or block connectors, restrict endpoint use, require authentication, and surface policy violations during authoring or publishing. This meets both enforcement and reporting requirements. Application Insights records runtime telemetry but does not prevent a maker from adding a disallowed connector. Security FAQs provide guidance only. Agent analytics can reveal behavior and usage trends but are detective, not an administrative guardrail. Data policies should be scoped deliberately at tenant or environment level and tested against representative agent configurations. When a violation occurs, Copilot Studio can block publishing and provide downloadable details identifying the policy conflict, enabling the administrator and maker to correct the design. Governance should also include least-privilege connections, environment segmentation, solution-based ALM, and review of exceptions; a broadly permissive policy followed by manual monitoring is not equivalent to enforcing the control at design and deployment time. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Evaluate security and governance considerations.
NEW QUESTION # 60
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