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| Section | Objectives |
|---|---|
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Publishing and deploying copilots - Monitoring performance and analytics |
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics |
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NEW QUESTION # 14
A regulated company requires that all agent conversations be logged, and that administrators can review transcripts for compliance auditing. Which two features should you configure? (Choose two.)
Answer: C,D
Explanation:
Integrating with Application Insights and enabling analytics with transcript retention provides the auditability and monitoring regulated environments require.
NEW QUESTION # 15
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does not use APIs. The builder needs that UI automation can run in the supported execution context and needs a way to inspect how the automation behaves during testing conversations. to validate To meet the business needs, the solution must meet the following requirements:
* Enable the agent to perform UI automation against the legacy application.
* Inspect execution details for the automation during 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. Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Computer use is the Copilot Studio capability for operating a website or desktop application's graphical interface when an API is unavailable. Enabling it gives the agent a UI automation tool driven through the supported machine execution context. During testing, the builder can open the computer-use activity or remote session from the agent's activity view to observe steps, inspect logs, and understand failures in real time. Adding a desktop flow is a different deterministic automation technology and is not required by the stated computer-use design. Publishing alone does not provision the UI automation or its machine. A custom connector cannot automate screen controls when the application exposes no API. The tool should be configured with narrowly scoped instructions, a healthy supported machine, protected credentials, and human confirmation for sensitive actions. Because computer-use behavior is probabilistic and visual interfaces change, the team should test alternate screen states, pop-ups, timing, and recovery, then monitor production sessions under strict access and retention controls. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure and monitor computer use for an agent.
NEW QUESTION # 16
An agent needs to call an external REST API that isn't available as a pre-built connector, and the API requires OAuth 2.0 authentication. What should you create?
Answer: B
NEW QUESTION # 17
An agent's generative answers responses sometimes include information not present in any configured knowledge source. What should you do to reduce this behavior?
Answer: A
Explanation:
Restricting the generative answers node (or agent instructions) to only use configured knowledge sources reduces hallucinated content that isn't grounded in approved data.
NEW QUESTION # 18
Drag and Drop Question
A company has an approved custom connector that uses a REST API for an internal system.
An agent in Copilot Studio must call this connector during conversations to retrieve or update data.
To meet the business needs, the solution must meet the following requirements:
- Make the connector actions available for the agent to invoke.
- Ensure authentication is handled at the service level, not per user.
- Pass conversation context into the connector when it is called.
- Surface the returned data of the connector to the user in the
conversation.
You need to configure the agent and the connector action to meet the requirements.
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. 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: Add the connector as a tool in the agent
To make the custom connector actions available for the agent to invoke, the correct configuration action is to add the connector as a tool in the agent.
Box 2: Create or reuse a connection for the connector
The correct configuration action to ensure authentication is handled at the service level (and not per user) is to create or reuse a connection for the connector.
Service-Level Auth: In Copilot Studio, when you use a custom connector, you must establish a connection that determines how credentials are supplied.
Connection Creation: By creating a connection using a fixed service account or API key-and configuring it to be shared or run under that specific context-the agent authenticates at the system/service level.
Box 3: Map topic variables to the tool inputs
The correct configuration action is to map topic variables to the tool inputs.
When you add a custom connector to an agent in Microsoft Copilot Studio, it functions as a "tool" or an action. To pass specific data-such as conversation context or user details-from the ongoing chat into that connector, you must map the active Copilot Studio topic variables to the input parameters defined by the connector's REST API.
Box 4: Parse the JSON response and assign it to a topic variable
To surface the returned data of the connector to the user in Copilot Studio, the correct configuration action is to parse the JSON response and assign it to a topic variable.
Data Extraction: Custom connectors return raw JSON data from REST APIs.
Variable Storage: Copilot Studio cannot display raw JSON directly to users in a clean way.
User Delivery: You must parse that JSON payload to isolate specific fields and save them into topic variables, which can then be inserted into message nodes for the user to read.
Reference:
https://learn.microsoft.com/en-us/power-platform/release-plan/2024wave2/microsoft-copilot-studio/create-rest-api-copilot-connectors-copilot-studio
NEW QUESTION # 19
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