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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
| Topic 2: Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Topic 3: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
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NEW QUESTION # 64
An agent calls a flow that intermittently produces unexpected results during execution.
The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,F
Explanation:
[A]
To diagnose the root cause of intermittent, unexpected results and inconsistent behavior in a Copilot agent flow, the correct step is to inspect failed run details.
Selecting a specific failed run from the history allows you to view the exact inputs, outputs, and error messages for each action within that specific execution. This is the only way to pinpoint exactly why a flow intermittently produces unexpected data or behaves inconsistently during a precise moment in time.
[C]
Checking the Activity tab in Microsoft Copilot Studio is a critical diagnostic step. It lets you trace exact interactions, see the decisions the AI made, and check for specific error details to determine why the flow execution failed or behaved inconsistently.
Reference:
https://community.powerplatform.com/forums/thread/details/?threadid=09732bfd-2c63-f011-bec2-6045bdda2f4f
https://community.powerplatform.com/forums/thread/details/?threadid=ac8bc7a2-86c9-f011-bbd3-000d3a184f11
NEW QUESTION # 65
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 must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be 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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 66
An agent must escalate to a live human agent when it cannot resolve a customer issue, and hand off full conversation context. Which node should you add to the topic?
Answer: C
NEW QUESTION # 67
An agent in Copilot Studio already exists in a development environment.
You need to prepare the agent so it can be moved to a production environment by using the supported solution-based approach.
You need to create an exportable package that contains the existing agent.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
Comprehensive and Detailed Explanation From [Microsoft AB-620 Study Guide] First, create a custom solution in the development environment and add the existing agent by selecting Add existing → Agent → Agent. The solution acts as the application lifecycle management package that contains the agent and its dependent components. Required objects such as agent flows, environment variables, connection references, and custom connectors should also be included when applicable.
After the agent and its dependencies are included, export the solution from the development environment. Microsoft's documented procedure starts from the list of unmanaged solutions and exports the solution containing the agent. During the export process, the maker can select the appropriate package type. Production deployments commonly use a managed export, but the source development solution remains unmanaged; it does not need to be converted before export.
Removing topics directly from the solution is specifically discouraged because changing or removing agent components outside the standard Copilot Studio authoring interface can cause export or import failures. Publishing the agent to a channel is also unrelated to creating a solution package. After the solution is imported into production, the imported agent must be configured, tested, and published in that environment.
Relevant study-guide area: Test and manage agents → Implement application lifecycle management for agents in Copilot Studio → Create a solution and add existing agents to a solution. See Export and import agents using solutions.
NEW QUESTION # 68
Hotspot Question
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
- Must implement safeguards to block unsafe or harmful content.
- Must implement protections for user prompts and model-generated
responses.
- Must be able to investigate why responses are filtered.
You need to configure Responsible AI safeguards and diagnostics.
Which setting should you configure 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: Configure the content filtering level for AI-generated content.
To configure safeguards and manage blocked generative responses effectively during your pilot testing, you should perform the following action: Configure a custom Azure OpenAI Content Filter policy with stricter severity thresholds and apply it to your agent's deployment.
Box 2: Review Azure Application Insights telemetry
Reviewing Azure Application Insights telemetry is the correct and recommended action to take.
When you deploy generative AI models in Azure (such as Azure OpenAI), safety filters monitor both incoming prompts and outgoing completions. If a response is blocked, Azure logs this event as a specific exception or telemetry metric.
Box 3: Review conversation transcripts
A good action to take is to review conversation transcripts.
Troubleshooting Blocked Responses
Conversation transcripts: Inspecting the downloaded or logged session transcripts allows you to look at the exact turn, user message, or grounded data that caused the Responsible AI filter to trigger the block.
Application Insights telemetry: Correlating the Conversation ID from the error with custom events or exceptions in Azure Application Insights helps verify the exact internal code (such as openAIndirectAttack or ContentFiltered).
Reference:
https://learn.microsoft.com/en-us/troubleshoot/power-platform/copilot-studio/generative-answers/agent-response-filtered-by-responsible-ai
NEW QUESTION # 69
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