An image hosting company uploads large assets to Amazon S3 Standard. The company uses parallel multipart upload and overwrites if the same object is uploaded again. For the first 30 days, objects are accessed frequently. After 30 days, objects are accessed less often and access patterns are inconsistent. The company must optimize S3 storage costs while maintaining high availability and resiliency. Which combination of actions should a solutions architect recommend? (Choose two.)
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Correct answer: Move assets to S3 Intelligent-Tiering after 30 days., Configure an S3 Lifecycle policy to clean up incomplete multipart uploads..
Why this is the answer
Moving assets to S3 Intelligent-Tiering after 30 days is correct because it automatically optimizes storage costs for data with changing or unknown access patterns, which matches the description of objects being accessed less often and inconsistently after 30 days. It maintains high availability and resiliency. Configuring an S3 Lifecycle policy to clean up incomplete multipart uploads is correct because the company uses parallel multipart upload. Incomplete multipart uploads can incur storage costs if not cleaned up, so a lifecycle policy to abort them after a set number of days (e.g., 7 days) is a cost-saving best practice. Moving assets to S3 Standard-IA or S3 One Zone-IA is incorrect because the access patterns are inconsistent after 30 days. S3 Intelligent-Tiering is designed for this scenario, whereas S3 Standard-IA has retrieval fees that could add up with inconsistent access, and S3 One Zone-IA sacrifices resiliency for lower cost, which contradicts the requirement for high availability and resiliency. Cleaning up expired object delete markers is a good practice for versioned buckets but is not directly related to the described access patterns or multipart uploads.
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