Explanation:
Amazon Aurora Backtrack allows you to "rewind" a DB cluster to a specific point in time without needing to restore data from a backup into a new cluster. This meets the requirement of completing the restore within the same production DB cluster. Point-in-time recovery (Option D) creates a brand new DB cluster, which does not meet the requirement of staying in the same cluster.
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Question #7
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A CloudOps engineer needs to be able to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster. Which solution will meet these requirements?
A
Create an Aurora Replica. Promote the replica to replace the primary DB instance.
B
Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.
C
Use backtracking to rewind the existing DB cluster to the desired recovery point.
D
Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
E
None
F
None
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