A company has an application that is deployed on AWS Elastic Beanstalk. The application generates user-specific PDFs and stores the PDFs in an Amazon S3 bucket. The application then uses Amazon Simple

Question

Options

• AUpdate the application code. In the code, add a rule to scan all the objects in the S3 bucket every
• BCreate an AWS Lambda function. Program the Lambda function to scan all the objects in the S3
• CCreate an S3 Lifecycle rule for the S3 bucket to expire objects after 90 days.
• DPartition the S3 objects with a // key prefix. Create an AWS Lambda function to remove objects

• A
  5% (2)
• B
  7% (3)
• C
  71% (29)
• D
  17% (7)

Explanation

S3 Lifecycle rules are a native AWS feature designed exactly for this use case - they allow you to automatically expire (delete) objects after a specified number of days with zero application code changes, making option C the lowest-effort solution by far.

Why the distractors are wrong:

• A requires modifying and redeploying application code to add a scanning routine, which introduces development effort and ongoing compute cost.
• B requires writing, deploying, and scheduling a Lambda function to scan and delete objects - functional, but far more effort than a built-in feature.
• D requires restructuring your S3 key naming scheme (partitioning) and writing a Lambda function, making it the most complex option of all.

Memory tip: When an AWS exam question asks for the least development effort to manage object expiration or transitions in S3, the answer is almost always an S3 Lifecycle rule - it's a fully managed, declarative config that requires no code, no Lambda, and no scheduled jobs.

No community discussion yet for this question.