Scientists upload large datasets to an S3 bucket using multipart uploads, but uploads often fail due to poor client connectivity. The company wants visibility into the size of incomplete multipart uploads and to automatically remove any parts left incomplete after 7 days to control storage costs. Which implementation satisfies these needs?
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Correct answer: Use the S3 Storage Lens dashboard to examine the Incomplete Multipart Upload Bytes metric, and configure an S3 lifecycle rule to abort incomplete multipart uploads after 7 days..
Why this is the answer
The correct option addresses both requirements: monitoring and automatic cleanup. S3 Storage Lens provides a dashboard with metrics like "Incomplete Multipart Upload Bytes," offering visibility into the size of these uploads. An S3 lifecycle rule can be configured to automatically abort incomplete multipart uploads after a specified number of days (e.g., 7 days), effectively cleaning up leftover parts and controlling storage costs. S3 Intelligent-Tiering is for optimizing storage costs of complete objects, not for managing incomplete multipart uploads. S3 Storage Lens can monitor, but not delete, incomplete uploads. The S3 console Metrics tab doesn't directly show incomplete multipart upload storage, and a Lambda function would be an overly complex and less native solution compared to a lifecycle rule. S3 storage class analysis helps identify access patterns for completed objects, not incomplete multipart uploads, and bucket policies enforce access, not lifecycle management.
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