What is the MOST operationally efficient solution that meets these requirements?
Use DynamoDB point-in-time recovery to back up the table continuously.
Use AWS Backup to create backup schedules and retention policies for the table.
Create an on-demand backup of the table by using the DynamoDB console. Store the backup in an Amazon S3 bucket. Set an S3 Lifecycle configuration for the S3 bucket.
Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function. Configure the Lambda function to back up the table and to store the backup in an Amazon S3 bucket. Set an S3 Lifecycle configuration for the S3 bucket.
Explanations:
While point-in-time recovery provides continuous backup capabilities, it does not specifically address long-term data retention for 7 years, as it is designed for short-term recovery.
AWS Backup allows for centralized management of backups, including the ability to set retention policies that can easily meet the 7-year requirement for DynamoDB tables.
Although creating an on-demand backup and using S3 Lifecycle policies can store data long-term, this method is less operationally efficient than using AWS Backup, as it requires manual intervention and management.
This option involves creating a custom solution using Lambda, which can be complex and requires ongoing maintenance. It does not leverage AWS Backup’s operational efficiencies.
I design that the answer is:
Use AWS Backup to create backup schedules and retention policies for the table.
I judge that the answer is:
Use AWS Backup to create backup schedules and retention policies for the table.