AWS Certified Data Engineer – Associate (DEA-C01) — Question 244

A company needs to optimize storage costs for an Amazon S3 bucket. The S3 bucket receives 10 million objects every day. The objects range in size from 2 KB to 5 MB. The objects need to be immediately accessible for the first 60 days. Users access objects infrequently from 61 to 180 days. The objects must be accessible within an hour from 181 to 365 days. The company can delete the objects after 365 days.

Which solution will meet these requirements?

Answer options

• A. Use S3 Intelligent-Tiering to automatically transition objects. Select the Archive Access tier for Intelligent-Tiering. Configure an S3 bucket policy to expire objects that are older than 365 days.
• B. Create an S3 Lifecycle policy to move objects. Configure the policy to move objects from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) after 60 days. Move the objects to S3 Glacier Flexible Retrieval after 180 days. Expire objects after 365 days.
• C. Enable S3 Inventory. Use a daily inventory report to configure an S3 Batch Operations job that moves objects from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) after 60 days. Move objects to S3 Glacier Flexible Retrieval after 180 days. Expire objects after 365 days.
• D. Enable S3 Inventory. Run an AWS Lambda function each day to fetch an inventory report and move objects from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) after 60 days. Move objects to S3 Glacier Flexible Retrieval after 180 days. Expire objects after 365 days.

Correct answer: B

Explanation

Option B is correct because it effectively meets all the specified access and cost requirements through a well-defined S3 Lifecycle policy. The other options, while viable, either involve unnecessary complexity or do not offer the same level of direct control and efficiency as the lifecycle policy approach.