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Updated: Sep 12, 2026
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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 |
| Passing Score: | 700 |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 40–60 |
| Exam Format: | Build list, Active screen, Multiple choice, Drag and drop, Case study |
| Available Languages: | Japanese, Chinese (Simplified), English |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Power Platform Developer Associate |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 165 |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
| Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:
Drag and Drop Question
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:
Explanation:
Box 1: Add a Copilot connector knowledge source for index content
To extend a Copilot Studio agent to provide grounded answers using enterprise data (such as ERP, CRM, or document stores), the correct integration action is to add a Copilot connector knowledge source for index content.
Copilot connectors crawl your enterprise content and index it into the search index. This allows the agent's generative answers to quickly retrieve and ground responses in trusted business data.
Box 2: Connect to an MCP server and add its tools to the agent
Standardized Tool Interface: The Model Context Protocol (MCP) is a universal, open standard interface specifically built to let large language models securely interact with external tools and callable functions.
Executing Actions: When you link an MCP server to your Copilot Studio agent, any executable capabilities or functions exposed by that server automatically become functional tools that your agent can invoke.
Box 3: Add a Power Platform connector tool and call it from a topic
For extending a Copilot Studio agent to execute authenticated, real-time updates to an external system, the correct action to take is to add a Power Platform connector tool and call it from a topic.
Executing Actions & Writing Data: Power Platform connectors (prebuilt or custom) are explicitly designed to perform actions like creating, reading, updating, or deleting records (CRUD operations) in backend systems.
Authentication: Connectors natively support security configurations, allowing you to easily map credentials so the agent executes the update using either maker-provided or specific end-user Microsoft Entra ID authentication. You can also control access at the topic level to ensure triggers execute precisely when required.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/copilot-connectors-in-copilot-studio
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-tools-custom-agent
Drag and Drop Question
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does NOT have APIs.
To meet the business needs, the solution must meet the following requirements:
- The agent must interact with the application's UI.
- The execution must run on supported infrastructure.
- The builder must be able to observe how the tool runs during
execution.
You need to configure the agent based on the requirements.
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.
Correct Answer:
Explanation:
Box 1: Enable Compute use tool for the agent.
To enable an agent in Microsoft Copilot Studio to interact with a legacy application's UI, you must configure and add the Computer Use capability.
Box 2: Use a platform-hosted execution environment.
In Microsoft Copilot Studio, you should configure the agent to use a platform-hosted execution environment to automate tasks on legacy desktop applications without APIs.
Box 3: Monitor run details in the agent runtime view.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use
Drag and Drop Question
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
- Users are able to trace each answer back to its source.
- The agent retrieves information from a centralized data index.
- Responses are generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
What should you configure for each requirement? 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:
Explanation:
Box 1: Instruct the agent to cite sources in knowledge settings
The specific behavior of how the agent presents that information-such as enforcing citations and tracing links back to the source documents-is controlled by the instructions and configurations within the agent's knowledge and conversation settings. You must explicitly configure the agent's prompt instructions or system settings to format the output with source citations so users can trace the answers.
Box 2: Configure Azure AI Search as the grounding data source
By adding Azure AI Search as a knowledge source Microsoft Copilot Studio enables the Retrieval-Augmented Generation (RAG) pattern. This ensures your generative AI model retrieves specific enterprise content from your centralized index and uses it to ground responses.
Box 3: Deploy a model in Foundry to an agent and connect to Copilot Studio Model Control: To strictly guarantee that an enterprise-approved foundation model (such as a specific Microsoft Foundry model) generates the response, you must manually deploy that specific model and link it to your agent.
Connection Workflow: Deploying the custom model in Azure AI Studio (formerly encompassing parts of Azure AI Foundry) and connecting it to Copilot Studio ensures the orchestration layer routes prompts directly to your certified LLM.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/ai-search
A company is building an agent topic in Copilot Studio.
The topic must meet the following requirements:
- Collect structured user input in a single step.
- Store the submitted values for use later in the conversation.
You need to configure the topic 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.
- A. Use Action.Execute for the button so the card can run commands across channels.
- B. Use the latest Adaptive Card schema version in all channels to ensure full feature support.
- C. Paste the card JSON into a Message node to collect the user's response.
- D. Add an Ask with Adaptive Card node to the topic.
- E. Add input fields to the card and include an Action.Submit button.
Correct Answer: D,E 🗳️
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A tenant administrator configures a Copilot connector that indexes content from an external knowledge system into Microsoft Graph.
A builder is building an agent that must:
- Use the indexed enterprise knowledge during answer generation.
- Avoid duplicating or manually uploading the same content.
- Avoid invoking the system as a transactional tool.
You need to configure the agent so that responses are grounded in the authorized knowledge sources.
What should you do?
- A. Add the connector as a tool and invoke it from a topic.
- B. Add the configured enterprise knowledge source to the agent's knowledge.
- C. Upload documents from the external system directly into the agent's file knowledge store.
- D. Create a new custom connector inside the agent configuration.
Correct Answer: B 🗳️
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