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Microsoft AB-620 Exam Syllabus Topics:

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

Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:

Question #1

A company wants an agent to retrieve real-time answers from a large, frequently updated document repository stored outside Dataverse, with strong relevance ranking. Which knowledge source should you configure?

  • A. Dataverse table search only
  • B. A single uploaded file
  • C. Public website URLs only
  • D. Azure AI Search
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

An agent in Copilot Studio must complete tasks by automating interactions with a legacy desktop application that does not use APIs.
During testing, the builder must confirm that the automation runs in a supported execution context and can inspect how each automation step executes during conversations.
To meet the business needs, the solution must:
- Execute UI automation in a supported, platform-managed environment.
- Provide visibility into how automation steps run during agent
conversations.
You need to configure the agent based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Add the desktop application as a knowledge source so the agent can reference its UI structure.
  • B. Inspect automation execution details by using the agent runtime view.
  • C. Enable computer use for the agent so UI automation runs in the supported execution environment.
  • D. Publish the agent so automation settings are applied at runtime.
  • E. Configure a custom connector to simulate UI interactions through REST calls.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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Question #3

A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must select an evaluation method that meets the following requirements:
- Use a fixed set of prepared interactions.
- Determine responses against a predefined baseline.
- Support consistent comparison across repeated test runs.
You need to choose an evaluation method that meets the evaluation requirements.
What should you do?

  • A. Launch a limited pilot and evaluate with customer satisfaction score and containment metrics from live users.
  • B. Manually review conversation transcripts to identify successful outcomes.
  • C. Monitor the Analytics dashboard for session abandonment rates.
  • D. Apply a standardized evaluation matrix.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Configure Azure AI Search as the grounding source so the approved model requirement is enforced during response generation.
  • B. Enable citations so generated responses can be traced and comply with governance requirements.
  • C. Publish the agent so that the model used by prompt-driven responses is updated automatically.
  • D. Select an approved model from the Microsoft Foundry model catalog in the configuration that is used for prompt-driven response generation.
  • E. Add a line to the instruction template that requires the agent to use only approved models when generating responses.
  • F. Ensure the reusable instruction template is the one applied to the agent that generates the structured response.
Reveal Solution  Discussion  0

Correct Answer: E,F  🗳️

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Question #5

Hotspot Question
A team uses environment variables to separate configuration from an agent so that the same solution can be moved between environments.
The team requires the following scenarios to be addressed:
- An administrator updates a sensitive configuration value and needs
the change to take effect at runtime without republishing the agent.
- A builder needs to confirm a configuration value but must not be able to modify it from Copilot Studio.
- An administrator updates a non-secret configuration value and needs
the updated value to be used by the published agent at runtime.
You need to apply the correct handling behavior for different environment-variable scenarios.
Which behavior should you apply for each scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Use a secret environment variable type to allow for runtime resolution.
Runtime Resolution: Secret environment variables in Power Platform / Copilot Studio link directly to Azure Key Vault.
Zero Republishing: When the administrator updates the value in Azure Key Vault, the agent fetches the latest value securely at runtime without needing a manual republish.
Security Compliance: Sensitive data (like API keys or passwords) is never exposed in plain text within the Copilot Studio authoring canvas.
Box 2: Environment variables are read-only in Copilot Studio
You must use environment variables configured as read-only within Copilot Studio to meet this requirement.
Prevention: It prevents makers or builders from changing values directly inside the bot authoring canvas.
Separation: It keeps the configuration layer decoupled from the conversational logic.
Security: It ensures the agent behaves consistently when moved across development, testing, and production environments.
Box 3: The agent automatically pulls the updated Current Value from the environment at the start of every session To ensure the published agent uses the updated configuration value at runtime after an administrator changes it, the agent must automatically pull the updated current value from the environment at the start of every session.
Dynamic Fetching: Fetching the variable at the start of a session ensures the agent never relies on stale, hardcoded data.
Zero Redeployment: Administrators can change values (like a support email or API endpoint URL) in the environment settings without needing to edit, recompile, or republish the agent itself.
Environment Isolation: The agent's logic remains identical across Development, Testing, and Production, changing its behavior strictly based on the environment context it loads.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-variables-about

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