PL-500 Microsoft Power Automate RPA Developer Free Practice Exam Questions (2025 Updated)

Edit the cloud flow.

Modify the Run a flow built with Power Automate for desktop action.

Set the priority value based on the volume for an order.

To implement a solution to manage the priority of incoming orders, you need to perform three actions in sequence:

Edit the cloud flow that triggers the desktop flow. This is where you can define the logic for setting the priority value based on the volume for an order1.

Modify the Run a flow built with Power Automate for desktop action in the cloud flow. This is where you can pass the priority value as a parameter to the desktop flow1.

Set the priority value based on the volume for an order in the desktop flow. This is where you can use the priority value as a dynamic content to determine how the desktop flow will run on the target machine1.

To implement security to resolve the invoice data issue, you need to perform three actions:

In Microsoft Power Platform admin center, navigate to the Security roles section. This is where you can manage the security roles for your environment and assign them to users or teams.

Select the Finance role, select Custom Entities and navigate to the table. This is where you can configure the access level for each entity in your environment based on your security role.

Clear the Create and Delete permissions. Set the Read permission and Write permission values to Business unit. This will restrict users with this role from creating or deleting records in this table, but allow them to read or write records within their business unit.

According to the scenario, the SMSApp data entry issue occurred after a DLP policy change that excluded the development environment from its scope. This means that any desktop flow that uses connectors in the development environment will be blocked by the DLP policy1. Therefore, the root cause of the issue is option D.

To configure a flow for processing invoices that arrive in an email, you need to use three elements: document type, AI model, and form type.

Document type specifies what kind of document you want to process, such as invoices, receipts, or business cards.

AI model determines how the document data will be extracted and analyzed, such as using a prebuilt model or a custom model.

Form type defines how the extracted data will be mapped to a table in Dataverse, such as using a standard form or a custom form.

To resolve the fulfillment status flow issue, you need to perform three actions:

Ensure that all users are signed out from the target machine. This will prevent any interference or interruption from other users who might be logged in to the same machine where the desktop flow is running1.

Use different local Windows accounts for all machines. This will ensure that each machine has a unique identity and credentials for running desktop flows1.

Ensure that the flow is not using elevated privileges. This will avoid any security risks or errors that might occur when running desktop flows with administrator rights1.

To configure permissions for the Purchase order quantity flow, you should assign the run-only user permission to the finance clerk. This will allow them to run the flow without being able to edit or share it1. The other permissions are not suitable for this scenario because:

Co-owner permission would give the finance clerk full access to edit, share, and delete the flow, which is not necessary or desirable1.

Owner permission would transfer the ownership of the flow to the finance clerk, which would remove your access and control over it1.

User permission would not allow the finance clerk to run the flow at all, only to view it1.

To ensure that the solution uses the correct accounts payable mailbox, you need to perform three actions:

Set the current value for the accounts payable mailbox in the environment. This will update the value of the environment variable that stores the email address of the accounts payable mailbox1.

Turn off and then turn on the cloud flows. This will refresh the cloud flows and make them use the updated value of the environment variable1.

Use one environment variable for both the cloud flows and the canvas app. This will ensure consistency and avoid duplication of data across different components of your solution1.