Echte AB-620 Fragen und Antworten der AB-620 Zertifizierungsprüfung

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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio AB-620 Prüfungsfragen mit Lösungen (Q18-Q23):

18. Frage
You need an agent to write a new row to a Dataverse table whenever a topic completes, and the write must include complex conditional logic not achievable in the visual flow designer alone.
What should you use?

Antwort: B

Begründung:
Power Fx formulas inside nodes like "Set a variable value" let you apply conditional logic, data transformation, and calculations before writing data, beyond what drag-and-drop flow steps alone support.


19. Frage
You run the same fixed test set three times in Copilot Studio.
During evaluation, you observe the following:
The same interaction fails in all three runs.
Score values range from 0.58 to 0.61.
The reasoning states that the response partially matches the expected answer.
The knowledge source that is used is internal documentation.
No tools are invoked.

Antwort:

Begründung:


20. Frage
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
Does the solution meet the goal?

Antwort: B

Begründung:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm


21. Frage
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 because of 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 whether 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?

Antwort:

Begründung:


22. Frage
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does NOT have APIs.
To meet the business needs, the solution must meet the following requirements:
The agent must interact with the application ' s UI.
The execution must run on supported infrastructure.
The builder must be able to observe how the tool runs during execution.
You need to configure the agent based on the requirements.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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.

Antwort:

Begründung:

Explanation:
Interact with the legacy UI # Enable the Computer use tool; Supported execution # Use a platform- hosted execution environment; Observe execution # Monitor run details in the agent runtime/activity view.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Computer use is specifically designed for websites and Windows desktop applications that lack a suitable API. It operates the interface through a virtual mouse and keyboard, allowing the agent to select controls and enter values on screen. The automation must be associated with a supported hosted or configured machine environment; enabling the tool alone does not supply an execution computer. Run and activity details provide the observation surface for testing how the model navigated the interface, where it paused, and why it failed. A custom connector would be preferable if a stable API existed, but the scenario explicitly rules that out. UI automation is inherently sensitive to layout, timing, pop-ups, and application changes, so the tool instructions should be narrow and the test set should cover common visual states. Credentials must be stored through supported credential management rather than typed into instructions. Destructive or high-impact operations should include confirmation or human supervision, and verbose logging should be protected because it can capture operational data shown on screen. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure and monitor computer use for an agent.


23. Frage
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