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A company is migrating a data processing application to AWS.

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A company is migrating a data processing application to AWS. The application processes several short-lived batch jobs that cannot be disrupted. The process generates data after each batch job finishes running. The company accesses the data for 30 days following data generation. After 30 days, the company stores the data for 2 years.

The company wants to optimize costs for the application and data storage. Which solution will meet these requirements?

A.

Use Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard. Move the data to S3 Glacier Instant Retrieval after 30 days. Configure a bucket policy to delete the data after 2 years.

B.

Use Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3 Glacier Instant Retrieval. Move the data to S3 Glacier Deep Archive after 30 days. Configure an S3 Lifecycle configuration to delete the data after 2 years.

C.

Use Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard. Move the data to S3 Glacier Flexible Retrieval after 30 days. Configure a bucket policy to delete the data after 2 years.

D.

Use Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3 Standard. Move the data to S3 Glacier Deep Archive after 30 days. Configure an S3 Lifecycle configuration to delete the data after 2 years.

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