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A company uses machine learning on transactional data that a development team uploads from multiple...

A company uses machine learning on transactional data that a development team uploads from multiple sources to an Amazon S3 bucket. The development team finds duplicate objects in the S3 bucket across multiple prefixes. The duplications are increasing the company ' s storage costs.

The company wants to implement an automated solution to identify and remove duplicate objects from the S3 bucket.

Which solution will meet this requirement?

A.

Use Amazon S3 Storage Lens to scan the S3 bucket and prefixes, create an inventory of the duplicate objects, and invoke an AWS Lambda function to delete the duplicate objects.

B.

Configure AWS CloudTrail to record data events for the S3 bucket. Use Amazon Athena to query S3 data events to identify duplicate objects. Use an AWS Lambda function to delete duplicate objects.

C.

Use Amazon S3 Inventory to generate reports. Use Amazon Athena to query the reports based on ETag values. Use S3 Batch Operations and an AWS Lambda function to remove duplicate objects.

D.

Use AWS Config to identify object changes. Use Amazon EventBridge to delete duplicate objects by running the aws:executeScript action in AWS Systems Manager.

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