AB-620 PDF Questions | Relevant AB-620 Questions

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Microsoft AB-620 Exam Syllabus Topics:

SectionObjectives
Plan and Design Copilot Studio AI Agents- Designing conversation flows and agent behavior
- Requirements analysis for AI agent solutions
- Selecting Copilot Studio capabilities and architecture approach
Integrate External Systems and Data Sources- Using Power Automate for workflow orchestration
- Connecting Azure services and APIs
- Integrating Dataverse and Power Platform components
Deploy, Monitor, and Optimize AI Agents- Monitoring performance and analytics
- Iterative improvement and lifecycle management
- Publishing and deploying copilots
Governance, Security, and Compliance- Environment management in Power Platform
- Data protection and responsible AI practices
- Managing access control and authentication
Build and Configure AI Agents in Copilot Studio- Configuring actions, plugins, and connectors
- Using generative AI and prompt engineering in Copilot Studio
- Creating and configuring copilots and topics

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q51-Q56):

NEW QUESTION # 51
You need to integrate Fabrikam Inc.'s existing Foundry agent so Operations Concierge can delegate summarization requests Which action should you perform for each requirement? To answer, move the appropriate actions to the correct requirements. You may use each action 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.

Answer:

Explanation:


NEW QUESTION # 52
Two Copilot Studio agents need to delegate tasks to each other directly, with each agent able to advertise its own capabilities to the other. Which two components are required? (Choose two.)

Answer: A,C

Explanation:
The Agent2Agent (A2A) protocol relies on an agent card (capability discovery) and an exposed A2A endpoint so one agent can securely discover and invoke another agent's capabilities.


NEW QUESTION # 53
You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources.
You run the evaluation and review the following result for one test case:
- Expected response: Digital products are non-refundable after
download.
- Actual response: Digital products cannot be refunded once downloaded.
- Result: Pass
- Score: 0.92
- Reasoning: The actual response semantically matches the expected
response.
- Knowledge sources used: RefundPolicy_KB
- Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: A,E

Explanation:
No additional corrective action is required for this specific test case. The evaluation shows a successful outcome because the actual response semantically matches the expected response, achieved a high score (0.92), and cited the correct knowledge source without unnecessary tool invocations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-edit


NEW QUESTION # 54
A team is developing an agent in Copilot Studio and wants to evaluate its behavior before expanding access.
The team needs a repeatable, consistent method to test the agent by using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?

Answer: A

Explanation:
A test set provides the controlled evaluation method required in this scenario. It consists of prepared prompts or questions together with defined expectations, such as an expected response or evaluation criterion. Copilot Studio can run the same test cases repeatedly, capture the agent's generated responses, and compare the results against the established baseline. Because the inputs and expectations remain fixed, changes between runs can be attributed more reliably to modifications in the agent's instructions, topics, tools, or knowledge configuration.
A qualitative review may be useful during exploratory testing, but it depends heavily on individual judgment and does not provide the same repeatability. Previous production sessions also contain uncontrolled user inputs and changing conversational context, so they are unsuitable as a standardized baseline. Publishing the agent to additional channels expands exposure rather than validating response quality.
Telemetry and analytics are valuable after deployment for monitoring fallback frequency, topic usage, engagement, containment, and other operational behavior. However, analytics alone do not execute a fixed collection of interactions or compare each response with a predefined expectation. They therefore complement formal evaluation rather than replace it.
The appropriate action is to define and repeatedly execute a test set containing prompts and expected outcomes. Relevant study-guide areas are Evaluate agent responses , Create and run test sets , and Analyze evaluation results . See Agent evaluation overview .


NEW QUESTION # 55
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 that UI automation can run in the supported execution context and needs a way to inspect how the automation behaves during testing conversations. to validate 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. Choose two.
NOTE: Each correct selection is worth one point.

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Computer use is the Copilot Studio capability for operating a website or desktop application's graphical interface when an API is unavailable. Enabling it gives the agent a UI automation tool driven through the supported machine execution context. During testing, the builder can open the computer-use activity or remote session from the agent's activity view to observe steps, inspect logs, and understand failures in real time. Adding a desktop flow is a different deterministic automation technology and is not required by the stated computer-use design. Publishing alone does not provision the UI automation or its machine. A custom connector cannot automate screen controls when the application exposes no API. The tool should be configured with narrowly scoped instructions, a healthy supported machine, protected credentials, and human confirmation for sensitive actions. Because computer-use behavior is probabilistic and visual interfaces change, the team should test alternate screen states, pop-ups, timing, and recovery, then monitor production sessions under strict access and retention controls. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure and monitor computer use for an agent.


NEW QUESTION # 56
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