Which solutions will meet these requirements with the LEAST operational overhead?
(Choose two.)
Identify the most recent automated snapshot. Restore the snapshot to a new RDS DB cluster.
Back up the database to Amazon S3 by using native database backup tools. Create a new RDS DB cluster and restore the data to the new RDS DB cluster.
Create a read replica instance in the original RDS DB cluster. Promote the read replica to a standalone DB cluster.
Create a new RDS DB cluster. Use AWS Database Migration Service (AWS DMS) to migrate data from the current RDS DB cluster to the newly created RDS DB cluster.
Use the pg_dump utility to export data from the original RDS DB cluster to an Amazon EC2 instance. Create a new RDS DB cluster. Use the pg_restore utility to import the data from the EC2 instance to the new RDS DB cluster.
Explanations:
The most recent automated snapshot can be restored to a new DB cluster with minimal operational overhead.
Using native backup tools to export data to S3 adds extra complexity and operational overhead.
Creating a read replica and promoting it involves minimal overhead and ensures near real-time data.
AWS DMS adds significant operational overhead for a simple RDS migration scenario.
Exporting and importing data with pg_dump and pg_restore requires manual steps and is more complex.
I think the answer is:
Identify the most recent automated snapshot. Restore the snapshot to a new RDS DB cluster.
I map out that the answer is:
Identify the most recent automated snapshot. Restore the snapshot to a new RDS DB cluster.