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A company runs an online order management system on AWS.

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A company runs an online order management system on AWS. The company stores order and inventory data for the previous 5 years in an Amazon Aurora MySQL database. The company deletes inventory data after 5 years.

The company wants to optimize costs to archive data.

Which solution will meet this requirement?

A.

Create an AWS Glue crawler to export data to Amazon S3. Create an AWS Lambda function to compress the data.

B.

Use the SELECT INTO OUTFILE S3 query on the Aurora database to export the data to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

C.

Create an AWS Glue DataBrew job to migrate data from Aurora to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

D.

Use the AWS Schema Conversion Tool (AWS SCT) to replicate data from Aurora to Amazon S3. Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class.

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