A payroll server has data on it that needs to be readily available and can be recovered quickly if something is accidentally removed. Which of the following backup methods should be used to provide the fastest data recovery in this situation?
A payroll server has data on it that needs to be readily available and can be recovered quickly if something is accidentally removed. Which of the following backup methods should be used to provide the fastest data recovery in this situation?
A full backup creates a complete copy of all data at a specific point in time. This makes the recovery process straightforward and fast, as only one backup set is required to restore all the data. Other methods like differential, synthetic, and incremental backups involve storing only changed or new data since the last backup, which complicates and slows down the recovery process because multiple backup sets need to be accessed and integrated to restore the data to its most recent state. Therefore, a full backup provides the fastest data recovery.
D. Incremental
incremental has the slowest data recovery......
Gemini: Full Backups and Recovery Speed: A full backup creates a complete copy of all data on the server at a specific point in time. Because it's a complete copy, restoring data from a full backup is typically the fastest method. There's no need to combine multiple backups or rely on incremental changes since you have a full image of the server's data at the time of the backup.
Since full backups result in more storage space, it usually takes much longer. Incremental backup is faster and more efficient
incremental has the slowest data recovery......
For the fastest data recovery, A. Full backups are typically the most suitable option. Full backups create a complete copy of all data at a specific point in time, making the recovery process straightforward. When restoring from a full backup, you only need to access one backup set, which simplifies and speeds up the recovery process compared to other backup methods. Differential, synthetic, and incremental backups all involve storing only changed or new data since the last backup, which means that during the recovery process, you might need to access multiple backup sets to restore the data to its most recent state. While these methods are efficient for minimizing storage space and backup time, they may not be as fast for data recovery as a full backup.