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Instant Download Microsoft : AB-620 Questions & Answers as PDF & Test Engine
- Exam Code: AB-620
- Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
- Updated: Sep 20, 2026
- No. of Questions: 133 Questions and Answers
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Microsoft AB-620 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions |
| Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio |
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Publishing and deploying copilots - Iterative improvement and lifecycle management |
| Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration |
Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:
Drag and Drop Question
A company uses a primary agent in Copilot Studio to handle user intake.
For some requests, the company wants the primary agent to delegate work to another Copilot Studio agent that already exists.
To meet the business needs, the solution must allow agents to perform the following on the connected agent:
- Must allow calls from other agents.
- Must allow agents to use the connected agent for collaboration.
- Must allow agents to invoke the connected agent in conversations.
You need to integrate the existing Copilot Studio agent with the connected agent.
Which setting 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: Publish the connected agent.
Before an agent can be called or targeted by other agents across solutions/environments, it must be published. Publishing exposes its endpoints/agent identity so it can receive incoming calls from caller agents.
Box 2: Configure connections to the connected agent.
Establishing the security and communication channels (connection settings, authentication mechanisms, and permissions) between agents enables seamless cross-agent collaboration and context sharing.
Box 3: Add the connected agent.
To allow the primary agent to invoke a specific connected agent within its conversation runtime/topics, you must explicitly add the connected agent to the primary agent's capabilities/tools configuration list.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-copilot-studio-agent
https://learn.microsoft.com/en-us/training/modules/build-multi-agent-solutions-connected-agents-copilot-studio/3-connect-copilot-studio-agent
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
- A. Add the REST API as a knowledge source so the agent can query it during conversations.
- B. Create a topic variable and use a Formula to parse the API endpoint string.
- C. Enable generative answers and rely on the model to fetch the REST API data automatically.
- D. Create a global variable to store the API URL and call it using a Redirect node.
- E. Add the REST API as a tool and call it either by using a topic or agent instruction.
- F. Configure an HTTP action and invoke it from a topic during the conversation.
Correct Answer: E,F 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
Drag and Drop Question
You run the same fixed test set three times in Copilot Studio.
During evaluation, you observe the following:
- The same interaction fails in all three runs.
- Score values range from 0.58 to 0.61.
- The reasoning states that the response partially matches the expected answer.
- The knowledge source that is used is internal documentation.
- No tools are invoked.
You need to determine which conclusions are supported based on the evaluation results.
Which conclusions should you make? To answer, move the appropriate conclusions to the correct evaluation results. You may use each conclusion 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: A pattern failure across repeated runs.
The correct conclusion concerning evidence of a recurring issue is a) a pattern failure across repeated runs.
When the exact same interaction fails across three repeated runs, it establishes a systemic, predictable pattern rather than an isolated, one-time anomaly.
Box 2: The response partially matches the expected answer.
Based on the evaluation criteria in Microsoft Copilot Studio, the most definitive and direct conclusion that can be made concerning response quality is that the response partially matches the expected answer.
Direct Evidence: The evaluation results explicitly state in the reasoning that the "response partially matches the expected answer." This directly provides a qualitative conclusion regarding the quality of the generated response.
Score Alignment: The semantic similarity or quality score values ranging from 0.58 to 0.61 align with a partial match. In AI evaluation metrics, a perfect match is represented by 1.0, while values in the 0.6x range indicate that the core context was captured but lacked full completeness or exactness.
Box 3: Use of a connected knowledge source during the interaction
Because generative AI outputs are non-deterministic, running the same test set across a dynamic environment can yield varying scores. In Microsoft Copilot Studio, observing scores consistently between 0.58 and 0.61 points to a fundamental limitation with the underlying knowledge source.
The evaluation points to option use of a connected knowledge source during the interaction.
Because no tools are invoked, the agent heavily relies on generative search (retrieval-augmented generation) over internal documentation. The score range and reasoning indicate that the agent successfully retrieves a document but relies on a probabilistic model to paraphrase or assemble the response, which results in a "partial match" rather than an exact extraction.
Incorrect:
In contrast, specific underlying causes require explicit tool invocations or system error logs to diagnose, which are not present here.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results
Hotspot Question
An organization uses separate development and production environments for agents in Copilot Studio.
You create an agent in the development environment.
The agent must be deployed to production by using an ALM process.
You must configure the solution strategy to meet the following requirements:
- Developers continue modifying the agent in development.
- The production deployment prevents direct modification.
- The agent is exported from development and imported into production
in a deployment-ready state.
You need to configure solutions to support deployment and lifecycle management of the agents.
Which solution type should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Box 1: Unmanaged solution.
The correct solution to meet this requirement is to use an unmanaged solution.
In a proper Application Lifecycle Management (ALM) process within the Power Platform and Copilot Studio, agents are developed inside an unmanaged solution in the Development environment. When it is time to deploy to the Production environment, the solution is exported as a managed solution. Once imported into Production, it becomes a read-only artifact. This strictly prevents direct alterations in production while perfectly allowing developers to safely continue modifying, testing, and updating the source agent within the Development environment.
Box 2: Managed solution
In Copilot Studio and Power Platform, deploying your agent as a managed solution locks down the components in the production environment. This acts as a protective measure to prevent unauthorized or direct modifications to your agent, forcing any future changes or updates to go through your proper ALM pipeline.
Box 3: Managed solution
In Power Platform and Copilot Studio Application Lifecycle Management (ALM), a managed solution is explicitly designed to deploy applications and agents to non-development environments like test or production. They are exported from development as managed files, making them deployment-ready, and they prevent direct, un-tracked editing in the production environment.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-overview
A company uses multiple Copilot Studio agents that perform specialized tasks.
You need to configure a Copilot Studio agent in your environment to connect to an external agent.
What should you do?
- A. Add a Power Platform connector tool that calls the other agent.
- B. Enable generative answers to call the other agent.
- C. Upload documentation about the target agent for referencing.
- D. Provide A2A endpoint information for the target agent.
Correct Answer: D 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
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