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Answer: Utilize Amazon S3 for storage, with S3 events triggering AWS Lambda for .jpg conversion, storing results in S3.
The correct answer is A. Amazon S3 provides scalable and cost-effective storage for the original .pdf files and the converted .jpg files. Using S3 events to trigger AWS Lambda for file conversion is serverless, scales automatically, and avoids the continuous running costs associated with EC2 instances and Elastic Beanstalk environments. This solution leverages the strengths of AWS Lambda—such as high availability and managed infrastructure—making it the most cost-effective and scalable option.
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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.
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