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| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Building Integrated AI Agent Solutions in Copilot Studio |
| Exam Number: | AB-620 |
| Related Certifications: | Microsoft Certified: Power Platform Developer Associate Microsoft Certified: Azure AI Engineer Associate |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Case study, Drag and drop, Build list, Active screen |
| Available Languages: | English, Japanese, Chinese (Simplified) |
| Passing Score: | 700 |
| Exam Price: | USD 165 |
| Real Exam Qty: | 40–60 |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
| Topic 2: Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Topic 3: Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
1. You need an agent to only be invoked by other trusted agents in the tenant, not directly by end users. What should you configure?
A) Increase the token limit
B) Enable anonymous authentication
C) Publish the agent to the public web channel
D) Configure the agent as a connected agent without exposing a standalone chat channel
2. 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 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.
NOTE: Each correct selection is worth one point.
A) Publish the agent to ensure the selected model is enforced for summarization.
B) Create a reusable custom prompt template and apply it where summarization responses are generated.
C) Enable citations to control how summarization output is generated.
D) Select a model from the Foundry model catalog in the custom prompt configuration.
E) Configure Azure AI Search as the grounding source for summarization prompts.
3. Hotspot Question
A company wants to use content from a non-Microsoft enterprise knowledge base to ground agent responses.
To meet the business needs, the knowledge source must meet the following requirements:
- Support grounding from indexed data.
- Use existing access controls from the source system.
- Support read-only operations.
You need to determine the correct behavior to meet the requirements.
Which behavior meets each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
4. You are testing an agent in a development environment and need to verify how it responds across multiple conversation paths before publishing to production. What should you use?
A) Deleting and recreating topics
B) Power BI
C) Directly editing the production channel
D) The Test panel in the authoring canvas
5. An agent needs to display a rich, interactive form (with dropdowns and buttons) to collect structured input from the user in Microsoft Teams. What should you use?
A) A trigger phrase
B) A generative answers node
C) Plain text message node
D) Adaptive card
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,D | Question # 3 Answer: Only visible for members | Question # 4 Answer: D | Question # 5 Answer: D |
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