A research institute hosts genomic sequencing workloads on AWS. The workloads generate two distinct datasets stored in a single Amazon S3 bucket:
* Raw sequencer outputs: Approximately files per month, with an average file size of . These files are accessed frequently during the first days for analysis, after which they are rarely accessed but must be retained for years for regulatory compliance.
* Alignment index files: Approximately files per month, with an average file size of . These files are accessed occasionally throughout the year to locate specific sequences, but they can be quickly regenerated from the raw outputs if needed, and must be kept for year.
Which combination of actions will provide the most cost-effective storage strategy for this data? (Select TWO.)
- Configure an S3 Lifecycle policy to transition the raw sequencer outputs to S3 Standard-IA after days, and to S3 Glacier Deep Archive after days.Cevap
- Retain the alignment index files in S3 Standard and configure an S3 Lifecycle policy to delete them after year.Cevap
- CConfigure an S3 Lifecycle policy to transition the alignment index files to S3 Standard-IA after days to lower storage costs.
- DConfigure an S3 Lifecycle policy to transition the alignment index files to S3 Glacier Flexible Retrieval after days.
- EConfigure an S3 Lifecycle policy to transition the raw sequencer outputs to S3 Standard-IA after days, and then to S3 Glacier Deep Archive after days.