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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 3: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
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NEW QUESTION # 51
Hotspot Question
You deploy an agent in Microsoft Copilot Studio that triggers a cloud flow to update customer records in Microsoft Dataverse.
You observe the following after deploying the agent:
- Several runs fail due to a temporary authentication issue.
- The flow continues to trigger and generate additional failed runs.
You must:
- Stop additional failed executions while troubleshooting.
- Process a failed execution after resolving the authentication issue.
- Validate if the most recent executions succeeded immediately after
resolution.
You need to use the appropriate monitoring and management actions to restore normal flow operation and validate successful execution.
Which action should you perform for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Disable the flow
The most appropriate action to address this specific issue is to disable the flow.
Immediate Stop: Turning off or disabling the flow completely prevents any new instances from triggering. This satisfies your urgent requirement to halt additional failed executions immediately while you troubleshoot.
Safe Troubleshooting: It pauses all activity without deleting or altering the internal logic of your automation, allowing you to safely fix the authentication token or connection issues.
Box 2: Resubmit the run
The best action to address this specific issue is to resubmit the run.
Efficiency: Resubmitting a failed run starts the cloud flow again from the exact same trigger point using the original data.
No Data Loss: It eliminates the need for the user or the Copilot Studio agent to manually recreate the request.
Targeted Fix: Since the root cause was a temporary authentication error that is now resolved, the original payload is valid and will now process successfully.
Box 3: Review the Activity history
In Microsoft Copilot Studio, the Activity history (specifically within the integrated Power Automate cloud flow management or the Copilot's topic run history) allows you to see the real-time execution status of individual runs. This is the only option that lets you immediately validate if the most recent executions succeeded right after resolving the authentication error.
Reference:
https://learn.microsoft.com/en-us/power-automate/fix-flow-failures
NEW QUESTION # 52
A team has deployed an agent in Copilot Studio and needs to evaluate whether the agent is meeting its intended goals before expanding usage to a broader audience.
The team must evaluate agent performance using a structured and repeatable approach that produces actionable insights.
You need to select and apply an appropriate evaluation method by performing the required actions in the correct order.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
1. Define success criteria and evaluation objectives; 2. Select evaluation methods and metrics aligned to the criteria; 3. Collect interaction data and evaluation signals; 4. Review results and identify improvement opportunities.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Evaluation starts with a definition of success because the business objective determines what should be measured. A policy agent might prioritize grounded accuracy and citations, while a transactional agent also needs tool-selection and completion measures. Once objectives and thresholds are defined, the team selects suitable methods and metrics, such as compare-meaning, exact match, keyword match, expected tool use, or a custom quality rubric. The test is then executed to collect responses, scores, resource usage, transcripts, and activity signals.
Only after evidence exists should reviewers interpret the results, isolate weak scenarios, and prioritize changes. Choosing metrics before defining success risks optimizing an irrelevant score; reviewing before collecting consistent evidence encourages anecdotal conclusions. Improvement should be iterative: change the knowledge source, instructions, tool metadata, or expected outcome one at a time and rerun the same set. This sequence produces an auditable link between business intent, measurement design, observed performance, and the remediation decision. Study Guide alignment: Test and manage agents > Evaluate agent performance
> Choose an evaluation method; Review test results.
NEW QUESTION # 53
Drag and Drop Question
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.
Answer:
Explanation:
Explanation:
Box 1: Power Platform connector tool.
Performing active operations/actions (like updates, creates, or deletes) in external systems requires using connectors configured as Tools (actions/plugins) within Microsoft Copilot Studio.
Actions execute operations on behalf of the user or system with explicit authentication.
Box 2: Power Platform connector for real-time knowledge.
Adding a Power Platform connector directly as a real-time knowledge source allows Copilot Studio to query external system APIs dynamically at runtime to retrieve live data for answering queries.
Box 3: Power Platform connector for real-time knowledge.
Unlike Graph connectors or standard knowledge indexing (which preprocesses and stores data into a search index), real-time knowledge queries data on-the-fly via API calls without ingesting or pre-indexing the source records into a separate search index.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
NEW QUESTION # 54
You are designing an agent that must reason over multiple tools and decide autonomously which tool to invoke based on user intent, rather than following a fixed topic sequence. Which Copilot Studio capability should you use?
Answer: D
Explanation:
Generative orchestration lets the agent dynamically select and chain topics, tools, and knowledge sources at runtime based on reasoning over the user's request, instead of relying on rigid, pre- authored conversation paths.
NEW QUESTION # 55
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?
Answer: C
Explanation:
To prevent your agent from generating ungrounded answers and restrict it to responding only when relevant content is found, you should configure the agent to require grounding for generative answers and use Azure AI Search as the retrieval source.
Enforces Grounding: Enabling the option to require grounding or disabling the ability for the AI to use its own general knowledge ensures that the Microsoft Foundry model will strictly use the data pulled from your indexed enterprise content.
Prevents Hallucinations: If Azure AI Search does not retrieve relevant document chunks for a specific user query, the agent will gracefully refuse to answer rather than fabricating a response based on pretrained model weights.
Reference:
https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/turn-enterprise-knowledge-into-answers-with-copilot-studio-and-azure-ai-search/4493118
NEW QUESTION # 56
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