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Microsoft AB-620 Questions & Answers - in .pdf

AB-620 pdf
  • Total Q&A: 101
  • Update: Jul 30, 2026
  • Price: $59.99
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  • Vendor: Microsoft
  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
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Exact Microsoft AB-620 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.

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Microsoft AB-620 Q&A - Testing Engine

AB-620 Study Guide
  • Total Q&A: 101
  • Update: Jul 30, 2026
  • Price: $59.99
Testing Engine
  • Vendor: Microsoft
  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
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Microsoft AB-620 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Building Integrated AI Agent Solutions in Copilot Studio
Exam Number:AB-620
Available Languages:English, Japanese, Chinese (Simplified)
Exam Duration:120 minutes
Passing Score:700
Exam Price:USD 165
Related Certifications:Microsoft Certified: Power Platform Developer Associate
Microsoft Certified: Azure AI Engineer Associate
Real Exam Qty:40–60
Exam Format:Multiple choice, Case study, Drag and drop, Build list, Active screen
Certificate Validity Period:2 years
Recommended Training:Course AB-620T00: Designing and Building Integrated AI Agent Solutions in Copilot Studio
Microsoft Learn: AB-620 Learning Path
Exam Registration:Pearson VUE Registration
Microsoft Certification Exam Registration
Sample Questions:Microsoft AB-620 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended experience with Copilot Studio, Power Platform, Dataverse, generative AI concepts, and API integration
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-620

Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and configure agent solutions30–35%- Plan an agent solution
  • 1. Plan channels and deployment options
  • 2. Identify business requirements and use cases
  • 3. Evaluate security, compliance, and data privacy considerations
  • 4. Define responsible AI and governance strategy
- Configure agent foundations
  • 1. Set up environment variables and configuration settings
  • 2. Define topics, triggers, and conversation flows
  • 3. Design agent identity, personality, and instructions
  • 4. Configure knowledge sources and data connections
Topic 2: Test, deploy, and manage agents20–25%- Deploy and manage agent lifecycle
  • 1. Prepare solutions for deployment
  • 2. Update, version, and retire agents
  • 3. Monitor usage, performance, and health
  • 4. Implement application lifecycle management (ALM)
- Test and validate agent performance
  • 1. Create test cases and evaluation datasets
  • 2. Measure accuracy, relevance, and safety
  • 3. Debug and resolve errors or unexpected behavior
Topic 3: Build and extend agents in Copilot Studio40–45%- Develop agent flows and logic
  • 1. Implement conditional logic and branching
  • 2. Design adaptive cards and user interfaces
  • 3. Create and modify conversation flows
  • 4. Use Power Fx expressions and functions
- Implement advanced capabilities
  • 1. Customize models and prompt engineering
  • 2. Configure retrieval-augmented generation (RAG)
  • 3. Add tools, actions, and automation
  • 4. Implement computer-use and advanced action agents
- Integrate with services and systems
  • 1. Integrate with Microsoft Foundry and MCP servers
  • 2. Implement multi-agent solutions and orchestration
  • 3. Connect to Microsoft 365, Azure, and external enterprise systems
  • 4. Connect to APIs, custom connectors, and Dataverse

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

1. Drag and Drop Question
A company integrates an MCP service that exposes ticket-management operations.
The MCP service requires authenticated requests and exposes multiple callable operations that must be selectively governed for agent use.
To meet the business needs, the MCP configuration must meet the following requirements:
- Only the allowed capabilities must be callable during conversations.
- Requests must succeed without embedding credentials in topic steps.
- The agent must be configured to send requests to the correct backend.
You need to configure MCP tools for the agent.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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.


2. An agent in Copilot Studio already exists in a development environment.
You need to prepare the agent so it can be moved to a production environment using the supported solution-based approach.
You need to create an exportable package that contains the existing agent.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Export the unmanaged solution that contains the agent.
B) Remove agent topics directly from the solution to prevent export errors.
C) Create a custom solution and add the existing agent to the solution.
D) Publish the agent to a channel and export the channel configuration.
E) Convert the solution to a managed solution so it can be exported.


3. Drag and Drop Question
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
- Must retrieve the current balance of a customer account stored in
Dataverse.
- Must retrieve the real-time shipping status of an order that updates
throughout the day in Dynamics 365.
- Must answer questions based on the content of a static PDF policy
document.
- Must provide a welcome message that does NOT depend on enterprise
data.
You need to configure the agent to meet the requirements.
How should the agent retrieve the data? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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.


4. 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.


5. A company wants to move an agent, along with its connection references and environment variables, from development to test to production in a repeatable, automated way. What should you use?

A) Exporting only the agent's knowledge sources
B) Copy-pasting topic text into a document
C) Solutions with Application Lifecycle Management (ALM), using pipelines or export/import
D) Manually recreating the agent in each environment


Solutions:

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

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