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Amazon SAA-C03 Exam - Topic 4 Question 76 Discussion

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?
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.
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.

Amazon SAA-C03 Exam - Topic 4 Question 76 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 76
Topic #: 4
[All SAA-C03 Questions]

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?

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Suggested Answer: D

The workload isstateless,parallel, and each job runs for about20 minutes, which makes Lambda a poor fit because Lambda has a maximum execution time of 15 minutes. AWS Fargate is a strong match for event-driven container workloads because it removes server management overhead, andFargate Spotlowers cost for interruption-tolerant processing. AWS also provides patterns for runningevent-driven workloads at scale with Fargate, and EventBridge can be used to trigger container tasks from S3-originated events. Compared with EKS or EC2 On-Demand, ECS on Fargate Spot is the most cost-effective managed container approach here.

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