A company runs a critical data analysis job each week before the first day of the work week. The job requires at least 1 hour to complete the analysis. The job is stateful and cannot tolerate interruptions. The company needs a solution to run the job on AWS.
Which solution will meet these requirements?
To meet the requirements of running a stateful job that cannot tolerate interruptions and requires at least 1 hour to complete, the best solution is to use AWS Fargate with Amazon ECS. AWS Fargate allows you to run containers without needing to manage the underlying infrastructure, which is ideal for long-running tasks. By scheduling the job to run as an AWS Fargate task on an Amazon ECS cluster using Amazon EventBridge Scheduler, you can ensure that the job runs at the specified time each week and completes without interruptions. This setup satisfies the requirements of reliability, stateful processing, and the specified execution time.
Answer: A Fargate is compatibilie with ECS and is allowing for log running tasks
B is wrong because the job takes 1 hour and the lambda maximum execution time is 15 minutes. C is wrong can't use spot instances because the job can not tolerate interruptions. D iswrong too because DataSync is not designed to lunch jobs. Correct answer is A
A. Create a container for the job. Schedule the job to run as an AWS Fargate task on an Amazon Elastic Container Service (Amazon ECS) cluster by using Amazon EventBridge Scheduler.