Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio AB-620 Dumps in PDF

Free Microsoft AB-620 Real Questions (page: 7)

DRAG DROP (Drag and Drop is not supported)
A company needs to ground an agent in Copilot Studio answers using live enterprise data from a supported system via a Microsoft Power Platform connector.
To meet the business needs, the builder must meet the following requirements:
-Authenticate using a valid connection.
-Add the connector as a real-time knowledge source.
-Select the tables for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Step 1: Select Add knowledge from the agent Knowledge experience Initiate: You start in the Knowledge tab to trigger the addition.
Step 2: Select the real-time connector from the Add knowledge dialog Identify: You pick the specific system/connector from the menu.
Step 3: Select Sign in and create a new connection or reuse an existing connection Authenticate: You log in to ensure permissions to the enterprise data.
Step 4: Select the tables to include as the knowledge source Configure: You isolate the exact tables needed for grounding.
Step 5: Select Add to agent to complete the connection Finalize: You save and bind the source to your agent.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-real-time-connectors



HOTSPOT (Drag and Drop is not supported)
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 due to 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 if 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? To answer, select the appropriate options in the answer area.
Note: Each correct selection is worth one point.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Disable the flow The most appropriate action to address this specific issue is to disable the flow.
Immediate Stop: Turning off or disabling the flow completely prevents any new instances from triggering. This satisfies your urgent requirement to halt additional failed executions immediately while you troubleshoot.
Safe Troubleshooting: It pauses all activity without deleting or altering the internal logic of your automation, allowing you to safely fix the authentication token or connection issues.
Box 2: Resubmit the run The best action to address this specific issue is to resubmit the run.
Efficiency: Resubmitting a failed run starts the cloud flow again from the exact same trigger point using the original data.
No Data Loss: It eliminates the need for the user or the Copilot Studio agent to manually recreate the request.
Targeted Fix: Since the root cause was a temporary authentication error that is now resolved, the original payload is valid and will now process successfully.
Box 3: Review the Activity history In Microsoft Copilot Studio, the Activity history (specifically within the integrated Power Automate cloud flow management or the Copilot's topic run history) allows you to see the real-time execution status of individual runs. This is the only option that lets you immediately validate if the most recent executions succeeded right after resolving the authentication error.


Reference:

https://learn.microsoft.com/en-us/power-automate/fix-flow-failures



DRAG DROP (Drag and Drop is not supported)
A company is preparing an agent flow so that it can be invoked by an agent during conversations.
The agent flow must meet the following requirements:
-The agent must be able to trigger the flow.
-The agent flow must be verified.
You need to prepare an agent flow so that it can be used by the agent.
In which order should you perform the actions to prepare the agent flow? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:





Step 1: Create a new agent flow artifact in the environment You must first initialize the flow container within your Copilot Studio workspace before adding any logic.
Step 2: Configure the invocation trigger that allows the agent to call the agent flow You must set up the specialized trigger first (i.e., "When an agent calls the flow"), because this defines the required input variables that the downstream behavioral actions will rely on.
Step 3: Configure the actions that implement the required behavior With the trigger and input variables established, you build the functional core of the flow (e.g., pulling data, sending approvals) and finalize it with the "Respond to the agent" action.
Step 4: Validate the agent flow behavior with representative test runs The workflow needs to be tested and verified directly within the flow authoring interface using test data to check for errors before exposing it to the orchestrator.
Step 5: Make the agent flow available for agent usage Once verified, you publish the flow and add it to your agent as an active tool so the conversational orchestrator can dynamically call it during live interactions.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/flow-agent



HOTSPOT (Drag and Drop is not supported)
A company uses an agent flow that occasionally requires human input before continuing execution.
Some automated actions must pause until a human provides a decision or additional information. The flow must be configured to:
-Capture a human response for use in later steps.
-Continue processing within the same flow run after the response is submitted.
-Wait for a manual decision before proceeding.
You need to configure a human-in-the-loop agent flow.
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.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Use the action's response outputs in subsequent steps. The correct configuration is to use the action's response outputs in subsequent steps.
Data Persistence: Pausing for human intervention (often via a Power Automate "Approval" or "Wait for an Action" step) generates dynamic output variables based on the human's decision.
Flow Continuity: To use the decision or additional information later, the flow must explicitly capture these response outputs and map them to subsequent steps or variables within Copilot Studio.
Box 2: Allow the action to wait for and return a response before continuing The valid configuration is to allow the action to wait for and return a response before continuing.
Same Flow Run: This setting explicitly pauses the current execution thread and waits for the human interaction to complete. Once the response is submitted, it resumes processing exactly where it left off within the same run.
Box 3: Add a human approval action. The correct configuration is to add a human approval action.
Built-in pausing: An approval action natively pauses the workflow execution.
State preservation: The flow holds its current state and waits until the user selects an outcome (e.g., Approve or Reject). Simplicity: It does not require complex logic to save data and restart the process from scratch.


Reference:

https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-request-for-information-in-copilot-studio-agent-flows/



HOTSPOT (Drag and Drop is not supported)
A company uses an agent that invokes an agent flow to exchange information during a conversation.
The company requires that the agent send data into the flow and receive structured results back from the same flow run. To support this business need, the flow must be configured to do the following:
-Capture the data provided by the agent.
-Return data results to the agent.
You need to configure the flow so that it can exchange data with the agent.
What should you configure for each requirement? To answer, select the appropriate options in the answer area.
Note: Each correct selection is worth one point.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Add a text input parameter To allow a Copilot Studio agent to pass data into a flow and receive structured results back, you must configure a Power Automate flow triggered by the "Run a flow from Copilot" trigger with custom input variables, and concluding with the "Respond to Copilot" action containing structured output parameters.
Box 2: Add a text output parameter To return structured results from an agent flow to your agent in Microsoft Copilot Studio, you should configure the "Respond to the agent" action in your flow with an output parameter.
In Microsoft Copilot Studio, when a topic or bot calls a Power Automate flow, data is sent into the flow via input parameters. To pass data, objects, or structured results back to the copilot during the exact same flow run, you must explicitly define one or more output parameters (such as a text, number, or boolean output) in the "Return value(s) to Power Virtual Agents/Copilot Studio" final step of the flow.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-use-flow



DRAG DROP (Drag and Drop is not supported)
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
-Must retrieve the current balance of a customer account stored in Dataverse.
-Must retrieve the real-time shipping status of an order that updates throughout the day in Dynamics 365.
-Must answer questions based on the content of a static PDF policy document.
-Must provide a welcome message that does NOT depend on enterprise data.
You need to configure the agent to meet the requirements.
How should the agent retrieve the data? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Connect to a Power Platform connector To enable your Copilot agent to fetch specific, real-time structured data (such as a customer's current balance) directly from Dataverse or Dynamics 365, you should connect to a Power Platform connector (or use native Dataverse plugins/tools).
Box 2: Connect to a Power Platform connector Real-Time Data Access: Dynamics 365 data resides in Microsoft Dataverse. Power Platform connectors (like the Dataverse connector) fetch data live from the source, ensuring the shipping status is perfectly accurate and updated throughout the day.
Box 3: Upload a file to Agents Knowledge Base.
Box 4: Create a manual response in the topic.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-studio https://www.matthewdevaney.com/copilot-studio-change-the-agent-welcome-message/



An agent calls a flow. The agent requires structured output values to be returned.
The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow.
What should you do?

  1. Validate parameter definitions.
  2. Change the trigger schema.
  3. Review the flow run history.
  4. Add a Parse JSON inside the flow.
  5. Republish the agent.

Answer(s): A

Explanation:

Validating your parameter definitions is the correct first step. Unexpected or empty values typically occur because of a schema mismatch or because unsupported, nested data types are passed directly between the agent and the Power Automate flow.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-flow-create



A company is building an agent in Copilot Studio.
The agent must meet the following requirements:
-Responses must be grounded in approved internal content.
-The agent must be able to retrieve information from configured data sources in a topic.
You need to configure the agent so that topic responses are grounded from custom data sources.
What should you configure?

  1. Enable analytics to review which topics users trigger most often.
  2. Add a custom prompt that tells the agent to answer only from company data.
  3. Configure knowledge sources in a generative answers node.
  4. Add SharePoint as a knowledge source only at the agent level.
  5. Increase the response length limit to improve answer completeness.

Answer(s): C

Explanation:

To configure a Microsoft Copilot Studio agent so its topic responses are exclusively grounded in your custom data sources, you should leverage the Create generative answers node within a targeted custom topic. This setup ensures the agent strictly retrieves information from your approved internal content.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-studio



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