What does the mock data reduction step in DIA aim to achieve?

The mock data reduction step in a Data Integrity Assessment (DIA) is primarily focused on ensuring the quick recoverability of data. This step involves streamlining and optimizing data storage to facilitate faster access and recovery processes. By reducing the amount of data being managed, organizations can enhance their ability to quickly restore essential data in the event of a loss or corruption. This can significantly lower downtime and improve overall data management efficiency, ensuring that critical information is preserved and recoverable within a minimal timeframe.

In contrast, while the other options may be related to data management practices, they do not accurately capture the primary focus of the mock data reduction step in DIA. Redundant data copies may indeed contribute to recoverability, but the goal here is not to create more copies but to simplify and enhance the recovery process. Cost savings on storage solutions and optimizing data sharing are also important considerations but are not the core objectives of the mock data reduction process in this context.