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A company's sensors upload .csv files to an Amazon S3 bucket, requiring conversion to images for immediate graphical report generation. How to cost-effectively manage file storage and conversion with the following constraints: images are irrelevant after 1 month, .csv files are needed for semi-annual ML model training?
A
Use an EC2 Spot Instance to process .csv files hourly, generating images uploaded to S3.
B
Implement a Lambda function for .csv to image conversion, triggered by new .csv uploads to S3.
C
Set S3 Lifecycle rules to transition .csv files to Glacier after one day, and expire images after 30 days.
D
Set S3 Lifecycle rules to transition .csv files to One Zone-IA after one day, expiring images after 30 days.
E
Set S3 Lifecycle rules to transition .csv files to Standard-IA after one day, using RRS for image files.