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Microsoft AB-620 Exam Syllabus Topics:

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

1. A team has an agent in Copilot Studio that handles user intake. For some requests, the team wants the agent to delegate work to a Microsoft Foundry agent that performs specialized processing. The Foundry agent already exists.
To meet the business needs, the solution must meet the following requirements:
- The primary agent must be able to call the Foundry agent.
- The external agent connection must reference the correct Foundry
project and agent.
You need to integrate the primary agent with the Foundry agent.
Which two actions should you take? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Publish the Copilot Studio agent.
B) Add an indexed knowledge source.
C) Configure the Copilot Studio endpoint URL.
D) Configure the project endpoint URL.
E) Add an external agent.

2. A company uses an agent in Copilot Studio to generate structured responses for internal users.
The agent must meet the following requirements:
- Consistently follow a reusable instruction template for response tone and structure.
- Use an enterprise-approved foundation model for responses generated
through the template.
You need to configure custom prompts so the agent uses the Microsoft Foundry model catalog.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Allow topic authors to define tone and structure directly in topic steps.
B) Enable citations, so the model is restricted to approved outputs.
C) Configure Azure AI Search as the grounding source, so the model choice is enforced.
D) Publish the agent to apply the Foundry model selection automatically.
E) Select a model from the Foundry model catalog for the custom prompt configuration.
F) Create a custom prompt template and apply it where the agent generates the structured response.

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

4. A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?

A) Publish the agent to a channel and use that channel configuration as the ALM container.
B) Export the agent directly and then import it into another environment.
C) Export the custom solution as a managed solution and import it into production.
D) Create a new custom solution from the Solutions area.

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

Solutions: