A company has a 20 TB production Amazon Aurora DB cluster. The company runs a large batch job overnight to load data into the Aurora DB cluster. To ensure the company's development team has the most up-to-date data for testing, a copy of the DB cluster must be available in the shortest possible time after the batch job completes.
How should this be accomplished?
A. Use the AWS CLI to schedule a manual snapshot of the DB cluster. Restore the snapshot to a new DB cluster using the AWS CLI.
B. Create a dump file from the DB cluster. Load the dump file into a new DB cluster.
C. Schedule a job to create a clone of the DB cluster at the end of the overnight batch process.
D. Set up a new daily AWS DMS task that will use cloning and change data capture (CDC) on the DB cluster to copy the data to a new DB cluster. Set up a time for the AWS DMS stream to stop when the new cluster is current.
How should this be accomplished?
A. Use the AWS CLI to schedule a manual snapshot of the DB cluster. Restore the snapshot to a new DB cluster using the AWS CLI.
B. Create a dump file from the DB cluster. Load the dump file into a new DB cluster.
C. Schedule a job to create a clone of the DB cluster at the end of the overnight batch process.
D. Set up a new daily AWS DMS task that will use cloning and change data capture (CDC) on the DB cluster to copy the data to a new DB cluster. Set up a time for the AWS DMS stream to stop when the new cluster is current.