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A company needs to design a solution to process videos that users upload to an...

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A company needs to design a solution to process videos that users upload to an Amazon S3 bucket. Each video file is approximately 1 GB in size and takes approximately 20 minutes to process. During peak hours, the company expects to process approximately 100 simultaneous uploads. The video file processing is stateless and can run in parallel as soon as the video files arrive in the S3 bucket.

Which solution will meet these requirements in the MOST cost-effective way?

A.

Use an AWS Lambda function to process each video. Split the video files into chunks, and use AWS Step Functions to orchestrate multiple processing steps.

B.

Use an Amazon EKS cluster with AWS Fargate profiles to deploy one container for each uploaded video. Configure an Amazon EventBridge rule to invoke the cluster when a user uploads a video.

C.

Use Amazon EC2 On-Demand Instances in an Auto Scaling group to process each file. Configure the Auto Scaling policy to increase the number of instances based on the number of files that the application needs to process.

D.

Use an Amazon ECS cluster with the AWS Fargate launch type. Use Fargate Spot capacity to run one container task for each uploaded video. Configure an Amazon EventBridge rule to invoke the cluster when a user uploads a video.

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