What feature would you enable to help control High Disk Usage from archived processes?

To manage high disk usage resulting from archived processes, enabling auto-compression is a strategic feature. Auto-compression reduces the storage requirement by storing archived process data in a compressed format. This can significantly decrease the amount of disk space consumed, as the compressed data takes up less physical space than uncompressed data.

When dealing with large amounts of archived process instances, auto-compression ensures that the data needed for audits or references is retained while minimizing the footprint on storage resources. This is particularly beneficial in environments where process instances may accumulate, leading to potential storage issues if not efficiently managed.

Data purging, while also relevant to storage management, involves the permanent removal of data and may not be suitable if there is a requirement to retain archived process information. Memory optimization focuses on reducing memory consumption during runtime rather than addressing disk usage specifically. Log truncation is related to managing log file size but does not directly impact the storage of archived processes. Hence, auto-compression emerges as the most suitable choice for managing high disk usage from archived processes effectively.