DynPro RPA Developer Interview Questions and Answers

Q1. Scenarios based questions
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Q2. Difference between Automation Anywhere v11 and A360
Ans. 
Automation Anywhere v11 is the older version with limited features, while A360 is the newer version with advanced capabilities.
• Automation Anywhere v11 has limited AI capabilities compared to A360

• A360 offers cloud-native architecture for scalability and flexibility

• A360 provides enhanced analytics and reporting features for better insights

• A360 supports more integrations with third-party applications
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Q1. Basics of activities and orchestrator
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Q2. Re framework and uses
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ReFramework is a framework in UiPath for building scalable and reusable automation projects.
• ReFramework provides a template for structuring automation projects with best practices

• It includes components like Init, Process, End Process, and Exception Handling

• ReFramework uses state machines to manage the flow of automation tasks
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Q3. Outlook and SMTP activities
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They ask live scenario to code in UIPath tool

Q1. Difference b/w throw and rethrow
Ans. 
throw is used to explicitly throw an exception, while rethrow is used to rethrow an exception caught in a catch block.
• throw is used to raise an exception and terminate the current execution.

• rethrow is used to propagate an exception to the next higher level of the call stack.

• throw can be used anywhere in the code, while rethrow is used only inside a catch block.

• throw requires specifying the type of exception being throw...read more
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Q2. How do you make selectors reliable
Ans. 
Selectors can be made reliable by using unique attributes, adding wildcards, using reliable parent elements, and using dynamic selectors.
• Use unique attributes: Select elements with attributes that are unique to them, such as ID or name.

• Add wildcards: Use wildcards like asterisks (*) or question marks (?) to account for dynamic values in selectors.

• Use reliable parent elements: Select elements based on their parent eleme...read more
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Q3. What is the List variable
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A List variable is a data structure that stores a collection of elements, typically of the same type.
• List variables can hold multiple values and are commonly used to store and manipulate data.

• They can be indexed and accessed using numerical positions.

• List variables can be modified by adding, removing, or updating elements.

• Examples of List variables include a list of names, a list of numbers, or a list of tasks.
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Q1. Explain about REframe work, Stages and Transitions
Ans. 
The REframe work is a framework used in Robotic Process Automation (RPA) development. It consists of stages and transitions.
• REframe work is a widely used framework in RPA development.

• It helps in structuring and organizing the automation process.

• The framework consists of various stages and transitions.

• Stages represent different phases of the automation process.

• Transitions define the flow of control between stages.

• Stages...read more
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Q2. Difference b/w Add queue item and Add transaction item
Ans. 
Add queue item is used to add an item to a queue in a queue-based transactional process. Add transaction item is used to add an item to a transaction in a state machine-based transactional process.
• Add queue item is used in queue-based processes where items are processed in a first-in-first-out manner.

• Add transaction item is used in state machine-based processes where items are processed based on predefined states and t...read more
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Q3. Credential Manager how we use?
Ans. 
Credential Manager is used to securely store and manage credentials for RPA development.
• Credential Manager is a feature in RPA tools that allows developers to store and retrieve credentials securely.

• It helps in avoiding hardcoding of sensitive information like usernames and passwords in the code.

• Credentials can be stored in an encrypted format and accessed when required during automation execution.

• RPA developers can us...read more
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Q4. How do you delete the row in datatable while iterating the process?
Ans. 
To delete a row in a datatable while iterating, use the Remove method of the Rows collection.
• Use a loop to iterate through each row in the datatable.

• Check the condition for deletion and use the Remove method to delete the row.

• Ensure to handle the index correctly to avoid skipping rows.
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