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| Section | Weight | Objectives |
|---|---|---|
| Design Agentic AI Solutions | 30-35% | - Select appropriate AI models and services - Define agent capabilities and boundaries - Design multi-agent architectures - Identify business scenarios for agentic AI |
| Governance and Best Practices | 10-15% | - Implement data privacy and security controls - Ensure regulatory compliance - Apply responsible AI principles |
| Deploy and Monitor Agentic AI Solutions | 20-25% | - Implement error handling and logging - Optimize agent performance - Configure monitoring and analytics - Publish and deploy agent solutions |
| Implement Agentic AI Solutions | 30-35% | - Implement data connections and plugins - Configure AI agents using Microsoft Copilot Studio - Configure security and compliance settings - Set up agent-to-agent communication |
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19. Frage
A company has a Microsoft Power Platform environment that contains Microsoft Dataverse data.
You create a Microsoft Copilot Studio agent named Agent1 that processes the Dataverse data.
You discover that Agent1 fails to return relevant or accurate results. You need to improve the quality and reliability of data grounding. What should you do?
Antwort: A
Begründung:
If a Copilot Studio agent that uses Dataverse is returning poor or irrelevant results, the most likely issue is weak or inconsistent grounding data.
The best corrective action is C. Verify and cleanse the Dataverse data.
Why C is correct:
Grounded AI quality depends heavily on source data quality
Incomplete, inconsistent, duplicated, outdated, or badly structured Dataverse records will lead to poor answers Cleansing and validating the data improves both relevance and reliability without requiring unnecessary model changes
20. Frage
A company has an AI solution that uses Azure OpenAI models.
You need to recommend a governance solution that monitors and audits changes to model configurations and data usage. The solution must minimize administrative effort.
What should you include in the recommendation?
Antwort: C
Begründung:
Azure Monitor is the primary service for monitoring and auditing Azure OpenAI model configurations and data usage. By combining Azure Monitor with diagnostic settings, you can track management operations, analyze token consumption, and audit prompt/response data.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/fundamentals/overview
21. Frage
Drag and Drop Question
A company has an AI solution that uses a Microsoft Copilot Studio agent.
You need to monitor the agent's performance. The solution must meet the following requirements:
- Monitor the agent's telemetry in near-real-time (NRT).
- Download transcripts of full conversations.
- Monitor the agent's usage and performance.
What should you use for each requirement? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Box 1: Application Insights
Monitor the agent's telemetry in near-real-time (NRT).
To monitor Microsoft Copilot Studio agent performance and telemetry in near-real-time (NRT), the best tool to use is Azure Application Insights.
By connecting your Copilot Studio agent to an Azure Application Insights instance, you can capture detailed runtime data, including user messages, topics triggered, and custom events as they happen.
Box 2: Microsoft Power Apps
Download transcripts of full conversations.
To monitor Microsoft Copilot Studio agent performance, you can download full conversation transcripts for the last 29 days using the Power Apps portal to analyze user interactions. Access Dataverse via Power Apps, navigate to tables, select ConversationTranscript, and export the data as a CSV file to identify engagement, resolution, and escalation patterns.
Steps to Download Transcripts via Power Apps:
1. Sign in to make.powerapps.com.
2. Select the correct environment in the top right corner.
3. In the side menu, select Tables (or Data > Entities in older views).
4. Search for and select the ConversationTranscript table.
5. Select Export data from the top menu.
6. Once compiled, select Download exported data to save the file.
Box 3: Copilot Studio
Monitor the agent's usage and performance.
To monitor a Microsoft Copilot Studio agent's usage and performance, you can use the built-in Analytics page in Copilot Studio, which provides comprehensive data on key metrics, conversation outcomes, and user satisfaction.
Reference:
https://reshmeeauckloo.com/posts/copilot-connecting-application-insights
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-overview
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-overview
22. Frage
A company deploys a Microsoft Copilot Studio agent that integrates with a Microsoft Power Automate desktop flow.
You need to recommend a testing solution that meets the following requirements:
Test cases must validate the most recent changes to the agent before the agent is released.
The flow must be validated as part of the agent ' s orchestration.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Validate most recent changes # Run tests against the latest unpublished version of the agent; Validate the flow as part of orchestration # Add the flow to the agent as a tool Why the first selection is correct The requirement says the company must validate the most recent changes to the agent before the agent is released . That means testing must happen on the newest working version that has not yet been published to production.
So the correct recommendation is:
Run tests against the latest unpublished version of the agent
This is the safest and most appropriate pre-release testing pattern because it allows the team to:
* verify recent changes before users see them
* catch regressions early
* validate orchestration logic in a controlled state
* reduce production risk
From an AI business solutions perspective, pre-release testing is critical for Copilot agents because even small changes in prompts, tools, orchestration, or data connections can affect:
* response quality
* workflow behavior
* escalation paths
* compliance behavior
* user trust
Testing unpublished changes ensures that governance and quality assurance happen before release, not after deployment.
Why the second selection is correct
The question also requires that the Power Automate desktop flow be validated as part of the agent ' s orchestration .
That means the flow must participate directly in the agent's runtime action path. The correct way to do that is:
Add the flow to the agent as a tool
When a flow is added as a tool, the agent can invoke it during its orchestration. This allows test cases to validate not only the conversational layer, but also the actual execution of the flow inside the end-to-end agent behavior.
From an agentic AI design perspective, tools are how agents connect reasoning with action. If the flow is meant to be part of orchestration, it must be exposed to the agent in a way that allows the agent to call it during task execution.
That is the correct enterprise pattern for validating integrated behavior.
23. Frage
You are designing a Microsoft Copilot Studio agent that uses a custom Microsoft Foundry model to generate responses.
You need to ensure that the agent can securely connect to and invoke the custom model during user interactions.
What should you include in the design?
Antwort: A
Begründung:
To create a connection to Microsoft Foundry within a Microsoft Copilot Studio agent and securely invoke a custom model, follow these steps:
1. Connect via the "External Agent" Method
This method allows your Copilot Studio agent to orchestrate and call a specific Microsoft Foundry agent directly.
2. Connect via "Bring Your Own Model" (BYOM)
If you want to use a specific model from the Foundry model catalog for individual prompt actions.
3. Security and Governance
Connecting to Microsoft Foundry ensures enterprise-grade security through:
Entra ID Integration: Agents are assigned a unique Microsoft Entra Agent ID, allowing IT teams to enforce Conditional Access and Identity Governance.
Unified Management: Both your Copilot Studio and Foundry agents can be managed centrally in the Microsoft Entra admin center.
Reference:
https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/building-secure-governable-ai- agents-with-microsoft-foundry/4472736
24. Frage
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