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An AWS-hosted company with 700,000 users seeks a cost-effective, scalable solution to convert and store large .pdf files as .jpg images, averaging 5 MB each. Which approach best meets these criteria?
A
Utilize Amazon S3 for storage, with S3 events triggering AWS Lambda for .jpg conversion, storing results in S3.
B
Leverage Amazon DynamoDB for storage, employing DynamoDB Streams to trigger AWS Lambda for .jpg conversion, storing results in DynamoDB.
C
Deploy an AWS Elastic Beanstalk application with EC2 instances, EBS storage, and Auto Scaling to handle file conversion to .jpg using EC2 programs, storing both file types in EBS.
D
Use an AWS Elastic Beanstalk application with EC2 instances, EFS storage, and Auto Scaling for .jpg conversion via EC2 programs, storing files in EBS.
