AWS Certified Data Engineer Associate DEA-C01 Practice Question
A finance team uses AWS DataSync to push a daily full export named transactions.csv from its on-premises system to an Amazon S3 bucket. The file name cannot be changed. Compliance requires that every historical snapshot remain retrievable for at least 7 years, but the team wants to minimize ongoing operational work in the ingestion pipeline. Which solution meets the data-history requirement with the LEAST operational overhead?
Configure DataSync to write the file to Amazon EFS and run a nightly AWS Glue job to copy the contents to S3 with a timestamped key.
Keep versioning disabled and configure AWS Backup to take daily backups of the bucket.
Enable S3 bucket versioning and add a lifecycle rule that transitions noncurrent object versions to a lower-cost storage class after 30 days.
Create an AWS Lambda function triggered by S3 PUT events to rename each new file with the current date before storing it in another bucket.
Enabling versioning on the S3 bucket automatically keeps every version of the transactions.csv object each time DataSync overwrites it. Previous versions can be retrieved at any time, satisfying the 7-year history requirement. Adding a lifecycle rule to transition noncurrent versions to Amazon S3 Glacier Instant Retrieval or Deep Archive further reduces storage cost without additional pipeline changes. The other options either lose historical data, require manual renaming logic at the source, or introduce unnecessary services and complexity.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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