99 Power Automate Interview Question and Answers

1. What are the different types of flow on Power Automate.
We can use three types of flows, they are:
• Business process flows
• Cloud flows
• Desktop flows

2. what are the components of cloud flow.
It has three components. They are:
• Trigger
• Action.
• Conditions

3. what are the Power Automate panes.
All panes are:
• Workspace
• Action pane
• Variable pane
• UI elements pane
• Images pane
• Errors pane

4. how can you implement a implement sub-flows?
It’s a group of actions that works, including the desktop flow. Each flow has main flow characteristics. We can include any other sub-flows inside of any sub-flow.

5. what is the differences between run sub-flow action and run desktop flow action?
• Run sub-flow action and initiate the sub-flow in the main desktop flow.
• Run desktop flow action initiate another desktop flow called child desktop flow.
• Run sub-flow action can not initiate the input variables.
• Run desktop flow action can initiate input variables.

6. what are the standard variables data types available in Power Automate?
There are lots of standard variables data types, few of them are:
• Text Value.
• Numeric Value.
• Boolean value.
• List.
• Data Table
• Data Row
• Custom Object
• Mail Massage
• File
• Folder

7. what are the input/output variables and flow variables are different?
Input/output is liable to pass the data from one point to another point inside the Power Automate cloud flows. So even we can use input values to determine the values at the time of flow running. But on the other hand, flow variables work with all active variables in desktop flow.

8. What is sensitive variable?
We know that flow variable are very sensitive, so input/output and flow work within the variables pane. However, all these sensitive variables will not show the flow designer at the

9. How can you perform work while the desktop flow is working?
Yes, we can work while the desktop flow is working because the interface is the same. While this flow is working, we can use any human interface to input any values into a block point. Yes, of course, we need to use Power Automate to control the rights.

10. What are the browsers we can use in Power Automate?
Power Automate makes automation in desktop flow which reconfiguration and works out of the box. This platform can use in Google Chrome, Internet Explorer, Microsoft Edge, and Mozilla Firefox.

11. how do you know about UI elements?

It helps to identify and interact directly with windows and the data resorting to the particular images recognized by methods.

12. What are the different Data Loss Prevention ( DLP)?
DLP policies always protect the flow group as per business or mark actions. In Power Automate administration, these policies are implemented. Therefore, any non-business activity can not be associated with these policies in Power Automate.

13. Explain about Process Advisor.
The process advisor will guide you to understand the business properly, and accordingly, you can do optimization in your industry. In addition, process advisors offer many scheduled tasks on mining.

14. Explain about AI builders?
AI builder is an inbuilt feature in Power Automate that helps to design optimized business processes. It runs your business with AI in Power Automate app. We don’t need to choose any models or don’t need to configure any model because all related models are inbuilt in AI builder.

15. What is the difference between Power Automate and Power Automate desktop?
Power Automate is used mainly for the API-automation of cloud services and internal API services, otherwise known as Digital Process Automation (DPA). Power Automate for desktop, on the other hand, is used for UI-automation of legacy web, Windows and terminal applications, also commonly referred to as Robotic Process Automation (RPA).

16. Explain the difference between Run subflow action and Run desktop flow action?
The Run subflow action triggers a subflow that is defined within the main desktop flow. On the other hand, the Run desktop flow action triggers another desktop flow—this so-called child desktop flow can receive input variables and may produce output variables. The parent desktop flow run will be paused until the called child desktop flow completes.

17. What are the common supported variable datatypes in Power Automate for desktop?
Text value, numeric value, Boolean value, list, datatable, datarow, custom object, mail message, file, folder etc.,

18. How many flows we create in Power Automate?
We can create unlimited flows in Power Automate. But this depends on the license type.

19. How many services are available in Power Automate?
It contains 200+ services are available in this automated application.


20. How many rows can handle by Power Automate?
Exactly 256 rows can handle by Power Automate as it retrieves data from an excel sheet. If we use pagination, then we can access more data.

21 How do you handle large datasets in Power Automate without hitting API limits?

Answer:
To handle large datasets:

  • Use pagination: Retrieve data in smaller chunks using pagination settings in actions like “Get items” or “List rows.”
  • Apply filters: Use OData queries or filters to reduce the amount of data retrieved.
  • Parallel processing: Use parallel branches to process multiple records simultaneously.
  • Batch processing: Process data in batches using loops and variables.
  • Optimize triggers: Use triggers that minimize API calls, such as polling triggers with longer intervals.

22. How can you implement custom logging and auditing in Power Automate?

Answer:
Custom logging can be implemented by:

  • Using SharePoint lists or Dataverse: Create a log entry for each flow run, storing details like timestamps, status, and error messages.
  • Compose actions: Capture intermediate data and log it to a file or database.
  • Azure Log Analytics: Send flow logs to Azure Monitor for advanced analytics and monitoring.
  • Custom connectors: Integrate with third-party logging tools like Splunk or Loggly.

23. How do you design a scalable approval workflow in Power Automate?

Answer:
To design a scalable approval workflow:

  • Use parallel approvals: Send approval requests to multiple users simultaneously.
  • Dynamic approvers: Use expressions or lookups to determine approvers based on conditions.
  • Escalation paths: Implement timeouts and escalation rules for unresponsive approvers.
  • Modular design: Break the workflow into smaller, reusable flows for better maintainability.
  • Integration with Power Apps: Use Power Apps to create custom approval interfaces.

24. How do you use OData queries in Power Automate?

Answer:
OData queries are used to filter, sort, and retrieve specific data from APIs or data sources like SharePoint or Dataverse. Examples include:

  • Filtering: $filter=Name eq 'John'
  • Sorting: $orderby=CreatedOn desc
  • Selecting fields: $select=Name,Email
  • Pagination: $top=100&$skip=0

Example: Retrieve the top 10 items from a SharePoint list where the status is “Approved”:

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$top=10&$filter=Status eq 'Approved'

25. How do you implement retry logic for failed actions in Power Automate?

Answer:
Retry logic can be implemented using:

  • Built-in retry policies: Configure retry intervals and counts in actions that support it.
  • Custom loops: Use a “Do Until” loop to retry actions until a condition is met (e.g., success or maximum retries).
  • Error handling: Use “Configure run after” settings to retry actions if they fail.

26. How do you integrate Power Automate with Azure services?

Answer:
Power Automate integrates with Azure services using connectors like:

  • Azure Functions: Call serverless functions to execute custom code.
  • Azure Logic Apps: Use Logic Apps for advanced workflows and integrations.
  • Azure Blob Storage: Upload or retrieve files from Azure storage.
  • Azure Service Bus: Send and receive messages for asynchronous processing.
  • Azure Monitor: Send logs and metrics for monitoring and analytics.

27. How do you use expressions to manipulate JSON data in Power Automate?

Answer:
Expressions can be used to parse and manipulate JSON data using functions like:

  • json(): Parse a JSON string into an object.
  • triggerBody(): Access the JSON body of a trigger.
  • body(): Access the JSON output of an action.
  • xpath(): Extract specific values from JSON using XPath expressions.

Example: Extract a value from a JSON object:

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json(triggerBody())?['key']

28. How do you implement role-based access control (RBAC) in Power Automate?

Answer:
RBAC can be implemented by:

  • Using Dataverse or SharePoint: Store user roles and permissions in a list or table.
  • Conditions: Check user roles before executing actions.
  • Approval workflows: Route tasks based on user roles.
  • Power Apps integration: Use Power Apps to create role-based interfaces.

29. How do you optimize Power Automate flows for performance?

Answer:
Optimization techniques include:

  • Reduce action count: Minimize the number of actions in a flow.
  • Use parallel branches: Run independent actions simultaneously.
  • Filter data early: Apply filters and conditions as early as possible.
  • Avoid nested loops: Simplify logic to reduce complexity.
  • Monitor and analyze: Use flow analytics to identify bottlenecks.

30. How do you use custom connectors in Power Automate?

Answer:
Custom connectors allow integration with APIs that are not natively supported. Steps to create a custom connector:

  1. Define the API: Use OpenAPI (Swagger) to describe the API.
  2. Create the connector: In Power Automate, go to Data > Custom Connectors and create a new connector.
  3. Test the connector: Use the test harness to validate the connector.
  4. Use the connector: Add the custom connector to your flows.

31. How do you handle concurrency in Power Automate?

Answer:
Concurrency can be handled by:

  • Using parallel branches: Run multiple actions simultaneously.
  • Setting concurrency control: Enable concurrency in triggers like “When an item is created.”
  • Using queues: Use Azure Service Bus or SharePoint lists to queue tasks and process them sequentially.

32. How do you implement version control for Power Automate flows?

Answer:
Version control can be implemented by:

  • Exporting and importing flows: Export flows as JSON files and store them in a version control system like Git.
  • Using solutions: Package flows into Power Platform solutions for managed deployment.
  • Documenting changes: Maintain a changelog for each flow.

33. How do you use Power Automate with Power BI?

Answer:
Power Automate integrates with Power BI to:

  • Trigger flows: Start a flow when a Power BI dataset is refreshed.
  • Push data: Send data from Power Automate to Power BI datasets.
  • Generate reports: Automate the creation and distribution of Power BI reports.

34. How do you implement error notifications in Power Automate?

Answer:
Error notifications can be implemented by:

  • Using “Configure run after” settings: Send an email or notification if an action fails.
  • Using conditions: Check the status of actions and send notifications based on the result.
  • Using Azure Monitor: Send error logs to Azure Monitor for advanced alerting.

35. How do you use Power Automate with Dynamics 365?

Answer:
Power Automate integrates with Dynamics 365 to:

  • Automate workflows: Trigger flows based on Dynamics 365 events (e.g., record creation or update).
  • Sync data: Synchronize data between Dynamics 365 and other systems.
  • Send notifications: Notify users of changes or approvals in Dynamics 365.

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