Download Designing and Building Integrated AI Agent Solutions in Copilot Studio.AB-620.ExamTopics.2026-10-15.31q.vcex
| Vendor: | Microsoft |
| Exam Code: | AB-620 |
| Exam Name: | Designing and Building Integrated AI Agent Solutions in Copilot Studio |
| Date: | Oct 15, 2026 |
| File Size: | 2 MB |
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Demo Questions
Question 1
A company needs an agent to answer questions using live enterprise records and to execute a limited set of operations in the same system.
To meet the business needs, the agent must meet the following requirements:
The agent must update a record using authenticated access.
The agent must answer questions using live data at runtime.
The agent must avoid indexing enterprise data into a search index.
You need to select the correct Power Platform connector approach for each requirement.
Which option should you use for each requirement? 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.
Correct answer: To work with this question, an Exam Simulator is required.
Question 2
A company builds agents in Copilot Studio in a development environment.
The agents are packaged inside a solution and deployed by using Power Platform Pipelines to test and production environments.
The company has the following requirements that must be met:
Production deployments are limited to a defined set of users who are responsible for that stage.
The same solution is reused across all environments without editing its components.
The production environment always receives a locked-down version of the solution.
You need to configure the pipeline and solution behavior to meet the requirements.
What should you configure? 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.
Correct answer: To work with this question, an Exam Simulator is required.
Question 3
Case Study -
This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study.
To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study.
A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it.
To start the case study -
To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions. When you are ready to answer a question, select the "Question" button to return to the question.
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.
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 determine an appropriate implementation related to the use of agent flows that is based on Blue Vender's design and compliance standards.
Which implementation method should you use for each scenario? To answer, move the appropriate implementation methods to the correct scenarios. You may use each implementation method 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.
Correct answer: To work with this question, an Exam Simulator is required.
Question 4
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does not use APIs. The builder needs to validate that UI automation can run in the supported execution context and needs a way to inspect how the automation behaves during testing conversations.
To meet the business needs, the solution must meet the following requirements:
Enable the agent to perform UI automation against the legacy application.
Inspect execution details for the automation during conversations.
You need to configure the agent 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.
- Configure a custom connector for the desktop app so the agent can automate the UI through authenticated calls.
- Add a Power Platform Desktop flow to control the desktop app.
- Access the remote session within the testing pane to monitor the real-time execution of the agent's desktop interactions.
- Publish the agent so the automation runs in the supported environment automatically.
- Enable the Computer use capability.
Correct answer: B, E
Question 5
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.
- Remove agent topics directly from the solution to prevent export errors.
- Convert the solution to a managed solution so it can be exported.
- Export the unmanaged solution that contains the agent.
- Publish the agent to a channel and export the channel configuration.
- Create a custom solution and add the existing agent to the solution.
Correct answer: C, E
Question 6
A company is extending agents in Copilot Studio with both external capabilities and enterprise content access. Some user requests require grounded answers, while other requests require executing actions.
To meet the business needs, the agent must meet the following requirements:
Ground answers using results from enterprise data.
Invoke callable functions exposed through a standardized tool interface.
Write an update to a system by using an authenticated action during the conversation.
You need to integrate the correct approach to meet the requirements.
What should you integrate for each requirement? To answer, move the appropriate integrations to the correct requirements. You may use each integration 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.
Correct answer: To work with this question, an Exam Simulator is required.
Question 7
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: To export, import, and manage agents between environments, you need to create and use a custom solution.
Does the solution meet the goal?
- Yes
- No
Correct answer: A
Question 8
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- Publish the agent so that the model used by prompt-driven responses is updated automatically.
- Enable citations so generated responses can be traced and comply with governance requirements.
- Add a line to the instruction template that requires the agent to use only approved models when generating responses.
- Configure Azure AI Search as the grounding source so the approved model requirement is enforced during response generation.
- Ensure the reusable instruction template is the one applied to the agent that generates the structured response.
Correct answer: A, E
Question 9
An agent calls a flow. The agent requires structured output values to be returned.
The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow.
What should you do?
- Validate parameter definitions.
- Change the trigger schema.
- Review the flow run history.
- Add a Parse JSON inside the flow.
- Republish the agent.
Correct answer: A
Question 10
A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?
- Use Azure AI Search as a tailback source and enable answer expansion.
- Upload documents into the agent and disable fallback responses.
- Require grounding for generative answers and use Azure AI Search as the retrieval source.
- Enable citations and configure a public model endpoint.
- Enable conversational boosting and select a Foundry-approved model.
Correct answer: B
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