Microsoft AB-620 exam dumps : Designing and Building Integrated AI Agent Solutions in Copilot Studio

  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Aug 24, 2026     Q & A: 133 Questions and Answers

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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test and Manage Agents20-25%- Monitor and manage agent solutions
  • 1. Use Power Platform pipelines and ALM processes
  • 2. Implement governance and security controls
  • 3. Test and validate agent behavior
  • 4. Monitor agent flows and performance
  • 5. Apply responsible AI practices
  • 6. Manage deployments and environments
Integrate and Extend Agents in Copilot Studio40-45%- Build advanced agent solutions
  • 1. Implement human-in-the-loop workflows
  • 2. Automate computer-use and orchestration scenarios
  • 3. Design and implement multi-agent solutions
  • 4. Configure actions and tools
  • 5. Create agent flows
- Integrate agents with enterprise systems
  • 1. Configure Azure AI Search and enterprise knowledge sources
  • 2. Integrate REST APIs and external services
  • 3. Use connectors and custom connectors
  • 4. Integrate with Microsoft Foundry and Azure services
  • 5. Implement Model Context Protocol (MCP)
Plan and Configure Agent Solutions30-35%- Plan agent solutions
  • 1. Plan integration with enterprise systems
  • 2. Plan responsible AI strategy
  • 3. Plan channels and deployment
  • 4. Evaluate security and governance considerations
  • 5. Design agents for internal or external audiences
  • 6. Plan reusable agent components
  • 7. Plan identity strategy

Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:

1. 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 ensure that performance-related questions are handled in accordance with Fabrikam Inc.'s defined architecture and business requirements.
Which capability should Operations Concierge use?

A) An Azure AI Search knowledge source configured for enterprise policy retrieval.
B) A Foundry agent configured for summarization and classification.
C) A data agent integrated into the multi-agent solution.
D) An MCP server tool that executes transactional operations.


2. A company is building an agent topic in Copilot Studio.
The topic must meet the following requirements:
- Collect structured user input in a single step.
- Store the submitted values for use later in the conversation.
You need to configure the topic based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Add input fields to the card and include an Action.Submit button.
B) Paste the card JSON into a Message node to collect the user's response.
C) Use the latest Adaptive Card schema version in all channels to ensure full feature support.
D) Use Action.Execute for the button so the card can run commands across channels.
E) Add an Ask with Adaptive Card node to the topic.


3. Drag and Drop Question
A company is preparing an agent flow so that it can be invoked by an agent during conversations.
The agent flow must meet the following requirements:
- The agent must be able to trigger the flow.
- The agent flow must be verified.
You need to prepare an agent flow so that it can be used by the agent.
In which order should you perform the actions to prepare the agent flow? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.


4. A company requires an agent in Copilot Studio to answer questions using content stored in a third-party knowledge base system and reuse that content for knowledge grounding.
The agent must ground answers using indexed enterprise knowledge from a non-Microsoft system.
You need to choose the correct integration approach.
What should you use?

A) Add a Copilot Studio tool as a real-time knowledge source.
B) Call the third-party API from a topic for each question.
C) Add a Copilot connector knowledge source for authorized content.
D) Add a Copilot Studio tool and call it from a topic.


5. Drag and Drop Question
A company uses a supported Power Platform connector to provide real-time access to enterprise records for knowledge grounding in an agent in Copilot Studio.
To meet the business needs, the knowledge source must provide the following functionality:
- Avoid copying enterprise data into an index.
- Keep source-system access controls enforced.
- Access data by calling the system at runtime.
You need to configure the connector knowledge source.
What 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.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: A,E
Question # 3
Answer: Only visible for members
Question # 4
Answer: C
Question # 5
Answer: Only visible for members

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