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AB-620 pdf
  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Jul 29, 2026
  • Q & A: 101 Questions and Answers
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  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Jul 29, 2026
  • Q & A: 101 Questions and Answers
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  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Jul 29, 2026
  • Q & A: 101 Questions and Answers
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Microsoft AB-620 Exam Syllabus Topics:

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

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

1. A solution containing an agent in Copilot Studio is moved across environments. The agent relies on configuration values that are different between environments and are managed as environment variables.
You must ensure the following:
- Configuration values are managed through environment variables that
supports ALM.
- Runtime behavior reflects updates to environment variable values.
You need to implement environment-variable usage that supports ALM and ensures correct runtime behavior.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Store external reference values as environment variables so the agent solution can move between environments while keeping the agent definition the same.
B) After an administrator updates a non-secret environment variable, republish any agents that use the variable so the change is effective at runtime.
C) Allow builders to change environment variable values directly in Copilot Studio during topic authoring to speed deployment.
D) Use environment variables as read-only in Copilot Studio and change their values in the appropriate administrative authoring experience.
E) Replace environment variables with hard-coded values inside the agent so that runtime behavior is always consistent across environments.
F) Assume that all environment variable updates take effect immediately at runtime for all variable types without republishing.


2. A company wants an agent to retrieve real-time answers from a large, frequently updated document repository stored outside Dataverse, with strong relevance ranking. Which knowledge source should you configure?

A) Azure AI Search
B) A single uploaded file
C) Public website URLs only
D) Dataverse table search only


3. A company uses an agent in Copilot Studio to coordinate user interactions.
The company wants the agent to delegate requests to a Microsoft Fabric Data Agent that accesses governed business data.
The agent must retrieve structured analytical data while enforcing data security and scope controls.
You need to select the integration approach that meets the requirements.
What should you use?

A) A Power Automate flow and call it from a topic.
B) A Copilot connector knowledge source that indexes Fabric data.
C) A REST API action that queries Fabric tables directly.
D) A Microsoft Fabric Data Agent and bind it to the model.


4. Case Study 1 - Blue Yonder Airlines
Background
Blue Yonder Airlines is a global carrier headquartered in Los Angeles, California, operating domestic and international flights. The company serves millions of passengers annually through its website, mobile app, and call centers. To improve customer service efficiency and reduce call center volume, Blue Yonder is deploying an AI agent in Microsoft Copilot Studio.
The agent will handle customer inquiries across multiple channels - web chat, mobile app, and Microsoft Teams (for internal support staff). It will answer questions, retrieve data from enterprise systems, and escalate to human agents when needed.
The project is led by a cross-function team:
- Product manager: Defines requirements and success metrics.
- Lead agent author: Designs topics, intents, and generative behavior.
- Flow designers: Build agent flows and integrations.
- IT/security and compliance: Oversees identity, data protection, and Responsible AI (RAI) compliance.
Current environment
Channels
Public website: Embedded web chat
Mobile app: In-app chatbot
Microsoft Teams: Internal support agent access
Identity and access
Customers: Anonymous access for general inquiries (e.g., flight status, baggage policy).
Authentication is required for personal data access (e.g., bookings, loyalty points).
Internal staff: Authenticate via Microsoft Entra ID.
Data sources
Reservation and Ticketing System (internal): REST API, no prebuilt connector with custom enterprise database.
Flight Status and Weather APIs (external): REST APIs with API keys.
Customer Support Knowledge Base: SharePoint library with PDFs and policy documents.
Loyalty Program Data: Stored in Dynamics 365 and Dataverse.
Travel Advisory Content: Uses REST API with partner services.
Integration mechanisms
Custom connectors must be used for internal APIs that lack prebuilt connectors.
HTTP request nodes may be used for lightweight external APIs.
Knowledge sources must be used for unstructured content.
Agent flows must be used to encapsulate reusable logic (e.g., rebooking).
Business requirements
Omnichannel support
Deploy the agent across web, mobile, and Teams with a consistent user experience. The Teams deployment must also support internal staff.
Self-service capabilities
The agent must handle common inquiries such as:
- Flight status
- Booking and rebooking
- Loyalty program questions
- Travel policies and baggage rules
Human escalation
If the agent cannot resolve an issue or the user requests help, it must:
- Escalate to a human agent.
- Transfer the conversation transcript and relevant context.
- Redact any sensitive personal data before escalation.
Knowledge integration
The agent must use scalable methods for knowledge integration and must not rely on manually authored Q&A topics for each document.
Performance metrics
First-contact resolution: +25%
Tier-1 call deflection: ≥20%
Response time: 90% of queries answered within 30 seconds
Accuracy: ≥95% for known FAQs
CSAT: ≥85% for AI-handled interactions
Technical requirements
Platform constraints
No custom code is permitted; only Copilot Studio's built-in tools may be used.
All backend logic must be implemented using agent flows.
Markdown must be used for formatting (e.g., bold, bullet points); HTML is not supported.
Authentication
Sign-in is required for personal data access.
Anonymous access is allowed for general inquiries.
User identity must be used for data access; shared or builder credentials must not be used.
Compliance and security
Power Platform DLP policies must be enforced to block unauthorized data flows.
Responsible AI content moderation filters must be enabled.
Prompt modifications must be added to enforce tone, disclaimers, and refusal behavior.
Disclaimers must be applied consistently across all generative responses. Manual edits to individual topics must be avoided.
Monitoring and maintenance
All conversations and actions must be logged for auditing.
Weekly reviews of transcripts and metrics must be conducted.
Topics, flows, and knowledge sources must be updated as policies or systems evolve.
Issues and constraints
API rate limits: External APIs (e.g., flight status) have usage limits. Agent flows must handle retries and caching to avoid exceeding quotas.
Knowledge base limits: Copilot Studio has limits on the number and size of indexed documents.
Large files must be split or summarized.
Generative answer risks: Generative responses must be constrained to avoid policy violations.
Prompt modifications and filters must be used to enforce tone, safety, and compliance.
User input variability: Users phrase questions in diverse ways. Topics must include varied trigger phrases and fallback handling.
Authentication UX: The agent must clearly explain when sign-in is required and handle transitions smoothly across channels.
Problem statement
Blue Yonder Airlines must deploy a secure, scalable, and policy-compliant AI agent using Microsoft Copilot Studio. The agent must deliver accurate, helpful, and safe responses across multiple channels, integrate with enterprise systems, and support both anonymous and authenticated users. It must adhere to strict data protection and Responsible AI standards while improving customer service efficiency and satisfaction.
You need to configure the Blue Yonder Copilot agent's responses in accordance with the company's content control and platform requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Use Markdown syntax within response content.
B) Add required disclaimer text inside each individual topic.
C) Duplicate disclaimer text across reusable topics.
D) Insert HTML formatting directly into topic responses.
E) Configure prompt instructions that include disclaimer text.


5. An agent needs to call an external REST API that isn't available as a pre-built connector, and the API requires OAuth 2.0 authentication. What should you create?

A) A new environment variable only
B) A custom connector with an OAuth 2.0 authentication type
C) A generative answers node
D) A Power Automate flow with anonymous authentication


Solutions:

Question # 1
Answer: A,B,D
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: A,E
Question # 5
Answer: B

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