Distinguish data loss from data corruption in the context of backups.

Distinguish data loss from data corruption in the context of backups.

• A. Data loss means missing data from a failure; data corruption means data is altered or unreadable, even if retained.
• B. Data loss means data is damaged; data corruption means data is lost.
• C. Data loss and data corruption are the same.
• D. Data loss happens only in backups; data corruption only in live systems.

Answer: (A)

The key idea is that backups must protect against two different failure modes: data loss and data corruption. Data loss means the data you need no longer exists—it's gone due to deletion, device failure, or a disaster, and there’s no usable copy to recover from. Data corruption means the data is still present, but its contents have been altered or become unreadable, so even if you can restore it, the result is inaccurate or unusable. In backups, you aim to prevent data loss by keeping copies, and you also must guard against corruption by ensuring the copies are intact and verifiable through checksums and regular restore tests. The statement that correctly distinguishes these two reflects these realities: missing data from a failure versus data that is retained but damaged. The other options muddle the terms—data loss isn’t simply “damaged,” data corruption isn’t simply “lost,” they aren’t the same, and each can occur in various environments beyond just backups or live systems.

The key idea is that backups must protect against two different failure modes: data loss and data corruption. Data loss means the data you need no longer exists—it's gone due to deletion, device failure, or a disaster, and there’s no usable copy to recover from. Data corruption means the data is still present, but its contents have been altered or become unreadable, so even if you can restore it, the result is inaccurate or unusable. In backups, you aim to prevent data loss by keeping copies, and you also must guard against corruption by ensuring the copies are intact and verifiable through checksums and regular restore tests. The statement that correctly distinguishes these two reflects these realities: missing data from a failure versus data that is retained but damaged. The other options muddle the terms—data loss isn’t simply “damaged,” data corruption isn’t simply “lost,” they aren’t the same, and each can occur in various environments beyond just backups or live systems.