A company is seeking a new backup solution for its virtualized file servers that fits the following characteristics: - The files stored on the servers are extremely large. - Existing files receive…

While snapshots capture point-in-time states quickly, they typically do not minimize the backup size that is sent to a cloud repository; they are more about recovery points on primary storage.

Real-time backups capture changes continuously, but without block-level tracking, they might still transfer full files or larger chunks than necessary, potentially increasing storage and network usage rather than minimizing backup size efficiently.

File-based replication copies entire files or file changes, which would be inefficient for extremely large files with small, internal changes, as it might transfer the whole file or large portions of it repeatedly.

Change Block Tracking (CBT) efficiently identifies and tracks only the data blocks that have changed on a virtual disk since the last backup, which is ideal for extremely large files with small, multiple daily changes, significantly minimizing backup size and data transferred to the cloud repository.