A development team maintains a lab workspace where data changes rapidly. They want to reduce data loss by organizing their backup jobs for times of low demand. Which approach best aligns with their goals?
Perform snapshot operations at defined intervals
Automate backups to run during high usage times
Schedule periodic large-scale tasks outside busier times
Adopt an incremental backup plan scheduled outside peak hours
An incremental plan set for lighter usage periods helps capture newly introduced data without overwhelming the systems. Running backup tasks during heavier activity can disrupt ongoing work. Large-scale tasks, even if scheduled for quieter periods, can become resource-intensive when done too broadly. Snapshots on a fixed timetable may miss transitional changes if not combined with more granular processes.
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