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Microsoft AB-620 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| Topic 2: Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
| Topic 3: Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Topic 5: Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors |
Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:
1. 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.
A) Investigate external tool configuration for this test case.
B) Accept the result because semantic matching is sufficient for a passing evaluation.
C) Confirm that the connected knowledge source is functioning as expected.
D) Modify the test case because the response is not an exact match.
E) Rerun the evaluation because the score is below 1.00.
2. A team has an existing agent in Copilot Studio and must move it to a different target location without rebuilding the agent. Some builders use Copilot Studio in the web app, while others use Copilot Studio in Microsoft Teams.
You need a supported approach to move the existing agent to the target location using ALM practices. The solution must avoid rebuilding the agent.
You need to move the existing agent to the target location using a supported method.
What should you do?
A) Remove agent components directly from the solution so that export and import will succeed.
B) Create a custom solution, add the existing agent to the solution, export the solution with the agent, and import the solution into the target environment.
C) Duplicate the agent in the source and manually recreate the changes in the target to avoid solution dependencies.
D) Publish the agent to a channel and use the channel configuration as the transport mechanism to the target environment.
3. A company uses multiple Copilot Studio agents that perform specialized tasks.
The company needs to enable one agent to directly delegate and invoke another agent within Copilot Studio by using a standard Copilot Studio interface.
You need to configure collaboration among agents by using Copilot Studio.
What should you do?
A) Upload documentation about the target agent for referencing.
B) Add the target agent as a Microsoft Fabric Data Agent.
C) Provide A2A endpoint information for the target agent.
D) Add the target agent as an indexed knowledge source.
4. 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?
A) Require grounding for generative answers and use Azure AI Search as the retrieval source.
B) Enable conversational boosting and select a Foundry-approved model.
C) Enable citations and configure a public model endpoint.
D) Upload documents into the agent and disable fallback responses.
E) Use Azure AI Search as a tailback source and enable answer expansion.
5. Drag and Drop Question
A development team is reusing agents in Copilot Studio across development, test, and production environments.
You need to ensure the agents meet the following requirements:
- Reusable components must support governed promotion across
environments.
- Environment-specific configuration must not be hard-coded.
- Deployments must support automated, multi-stage approvals.
You need to configure the agents based on the business requirements.
Which configurations should you use 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.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: Only visible for members |

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