Which of the following is essential to ensure data integrity in Relativity Web Processing?

Data cleansing before processing is essential to ensure data integrity in Relativity Web Processing. This practice involves cleaning and preparing the data to eliminate errors, inconsistencies, and inaccuracies that may affect the results of the processing. By performing data cleansing, you ensure that only high-quality, relevant, and correctly formatted data is used in your workflows, which reduces the likelihood of issues arising during processing.

In the context of a data processing environment, data integrity is crucial, as it ensures that the results of analysis or other operations are valid and trustworthy. Proper data cleansing can help identify duplicate records, format inconsistencies, and other issues before the processing occurs, thus maintaining the reliability of the data throughout the project lifecycle.