Flow Error Handling

Correct Answers: B, C, D and.

F.

As a Solution Architect, you need to ensure that the Power Automate flow designs incorporate error handling tools.

Power Automate provides several such tools: Run after - helps to catch the error and not stop flow execution.

Parallel branches - help to direct the flow based on the Run after conditions.

You can use branching for flow execution in cases of success or different types of errors.

Changesets - help control Create, Update, and Delete actions for the Dataverse connector in a block of steps running like one transaction.

If one of the steps fails, the block's changes will rollback.

API limits - help control the number and execution time of API requests that keep the Dataverse service performance and availability for your flow execution.

You can use the Power Automate error handling template “Try, Catch, and Finally Template” based on Scope control actions.

For specific error handling, you can also implement your Try-Catch construction using the Scope control action, “Configure run after,” and/or Switch/Case options.

All other options are incorrect.

For more information about the Power Automate error handler implementations, please visit the below URLs:

As a Power Platform Solution Architect designing a Power Automate solution, it's important to incorporate error handling to ensure smooth and uninterrupted flow execution. There are several tools available in Power Automate to handle flow errors, and the correct choice(s) will depend on the specific scenario and requirements of the solution.

Here's a brief explanation of the tools listed in the question:

A. On Error: This tool allows you to specify a set of actions to perform when an error occurs during flow execution. You can configure the error handling to be triggered for all or specific types of errors. This tool can be used to log error details, send notifications, or perform other corrective actions.

B. Run after: This tool allows you to specify actions to be performed after a specific action in the flow, regardless of whether the previous action was successful or not. For example, you can configure a flow to continue with a specific action even if a previous action failed.

C. Parallel branches: This tool allows you to execute multiple branches of the flow in parallel. This can be useful for handling errors in a specific branch without stopping the entire flow. For example, you can use parallel branches to continue processing data even if there are errors in one branch.

D. Changesets: This tool allows you to group multiple actions together into a single transaction. If any of the actions fail, the entire changeset is rolled back. This can be useful for ensuring data consistency and preventing partial updates.

E. Notification: This tool allows you to send notifications when specific events occur in the flow, such as when an error is encountered. Notifications can be sent via email, Teams, or other channels.

F. API limits: This tool allows you to monitor and manage API limits for the connectors used in the flow. If a connector reaches its API limit, the flow can be configured to handle the error in a specific way, such as by retrying the operation after a certain amount of time.

In summary, when designing a Power Automate solution, it's important to consider the specific requirements for error handling and select the appropriate tool(s) based on the scenario. Options like On Error, Run after, and Parallel branches can help to ensure that the flow continues to execute even if errors occur, while tools like Changesets and API limits can help to maintain data consistency and manage connector limits. Finally, Notification can be used to alert stakeholders and administrators about errors and other important events in the flow.