📖 What is Incremental Backup?
A backup that only includes data that has changed since the last backup of any kind (full or incremental).
"Fastest to perform, but slowest to restore because you need the full backup + every incremental link."
📚 Certification: Certified in Cybersecurity (CC)
🔑 What are the Key Concepts of Incremental Backup?
- ▸ Incremental backups reduce backup time and storage space by only copying modified data since the last backup.
- ▸ Restoration requires the last full backup *and* all subsequent incremental backups in the correct order.
- ▸ Compared to differential backups, incremental backups are faster to create but slower to restore.
- ▸ File attributes (like timestamps) are crucial for identifying changed data during an incremental backup process.
- ▸ Understanding the full, incremental, and differential backup types is essential for data recovery planning.
🎯 How does Incremental Backup appear on the CC Exam?
You may be asked to determine the most efficient backup strategy given limited backup windows and storage capacity, comparing incremental to other methods.
A scenario might describe a data recovery situation where several incremental backups are missing – identify the impact on the restoration process.
Expect questions about calculating the total time to restore data given a full backup and a chain of incremental backups.
❓ Frequently Asked Questions
What happens if an incremental backup in the chain is corrupted?
If an incremental backup is corrupted, you cannot restore data beyond that point in the chain. You'd need to restore from the last known good full backup and re-create the incremental backups.
How do incremental backups affect backup window requirements over time?
Initially, incremental backups are fast. However, as more incremental backups accumulate, the restoration time increases, and the risk of a single point of failure grows.
Is it better to have more frequent, smaller incremental backups or less frequent, larger ones?
More frequent, smaller backups minimize data loss in case of failure, but increase management overhead. The optimal frequency depends on RPO/RTO requirements and data change rates.