Which aspect of Relativity Web Processing contributes to maintaining data integrity?

Effective error handling is crucial for maintaining data integrity within Relativity Web Processing. When processing large volumes of data, errors can occur due to various reasons, such as system malfunctions, data inconsistencies, or unexpected input formats. An effective error handling mechanism can identify these errors promptly and determine the best course of action to resolve them, whether that involves logging the errors for further investigation, alerting users to the issue, or automatically applying correction processes where possible.

This proactive approach ensures that incorrect data does not enter the system or go unnoticed, ultimately preserving the accuracy and reliability of the data being processed. By addressing errors immediately, the integrity of the overall dataset is maintained, which is critical for any subsequent analysis or actions that rely on the data's accuracy.

Other aspects, such as job scheduling, document archiving, and login authentication, play important roles in the overall function and security of the Relativity environment but do not directly contribute to the integrity of the data processed. Job scheduling can optimize processing but does not guarantee data accuracy. Document archiving ensures data is stored securely but does not address potential errors during data processing. Similarly, login authentication secures access to the system but does not influence how data integrity is maintained during processing. Thus, effective error handling