AWS Certified Data Engineer Associate DEA-C01 Practice Question
An analytics company stores daily batch result files in an Amazon S3 bucket with versioning enabled. Operations teams must be able to re-download the most recent version for 90 days. After 90 days, only long-term archival is required. Any previous versions should be permanently removed 7 days after they become non-current. Which solution meets the requirements while minimizing operational effort and storage cost?
Use AWS Glue to copy objects older than 90 days into an S3 Glacier Deep Archive bucket and configure a separate Lifecycle rule to expire noncurrent versions after 7 days.
Create a single S3 Lifecycle rule with no filter that transitions current object versions to Glacier Flexible Retrieval after 90 days and sets the NoncurrentVersionExpiration action to 7 days.
Enable S3 Intelligent-Tiering with Archive Access after 90 days and add an EventBridge-triggered Lambda function that deletes noncurrent versions 7 days after they appear.
Enable S3 Replication to a destination bucket using the Glacier Flexible Retrieval storage class with a 90-day replication time and employ S3 Batch Operations weekly to delete noncurrent versions.
A single S3 Lifecycle rule can combine actions for current and previous object versions. Setting a transition action that moves the current version to the Glacier Flexible Retrieval storage class after 90 days satisfies the long-term archival requirement at the lowest cost that still allows future restoration. In the same rule, configuring the NoncurrentVersionExpiration action to 7 days automatically deletes any older object versions shortly after they are superseded, eliminating manual clean-up activities. The other options either require additional services and custom code, leave objects in a more expensive storage class, or duplicate data unnecessarily, making them less cost-effective or more operationally complex.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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