What is the MOST operationally efficient solution that meets these requirements?
Create a manual snapshot of the DB cluster after the data has been populated. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to restore the snapshot and then delete the previous DB cluster.
Enable the Backtrack feature during the creation of the DB cluster. Specify a target backtrack window of 48 hours. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to perform a backtrack operation.
Export a manual snapshot of the DB cluster to an Amazon S3 bucket after the data has been populated. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to restore the snapshot from Amazon S3.
Set the DB cluster backup retention period to 2 days. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to restore the DB cluster to a point in time and then delete the previous DB cluster.
In my opinion, the answer is:
Enable the Backtrack feature during the creation of the DB cluster. Specify a target backtrack window of 48 hours. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to perform a backtrack operation.
I surmise that the answer is:
Enable the Backtrack feature during the creation of the DB cluster. Specify a target backtrack window of 48 hours. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function on a daily basis. Configure the function to perform a backtrack operation.