Which of the following statements about validation in UiPath is true?

The statement affirming that human users can validate both classification and extraction tasks is accurate because it emphasizes the collaborative nature between robotic processes and human oversight in UiPath. In automation, validation is critical to ensure the quality and accuracy of the process outputs.

Human users play an essential role in confirming that the automation accurately classifies data and extracts information. By involving human validation in these tasks, organizations can enhance the reliability of automated processes, particularly in scenarios where context or nuanced understanding is necessary. This human-robot collaboration helps mitigate errors that may arise from purely automated decisions, thereby improving overall system performance and user trust.

The other options are inaccurate as they either limit the scope of validation unnecessarily or misrepresent the roles of human users in the validation process. Focusing strictly on robotic processes or confining validation to extraction tasks does not reflect the full capabilities of UiPath's automation framework, which is designed to leverage human insights across various types of data handling.