A company runs a critical, stateful data analysis job each week before the first workday. The job requires at least 1 hour to complete and cannot tolerate interruptions. The company needs a solution to run the job on AWS. Which solution meets these requirements?
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Correct answer: Create a container for the job and schedule it to run as an AWS Fargate task on an Amazon Elastic Container Service (Amazon ECS) cluster using Amazon EventBridge Scheduler..
Why this is the answer
The correct solution uses AWS Fargate for running the containerized job. Fargate provides a serverless compute engine for containers, eliminating the need to manage EC2 instances. This ensures the job runs without interruption, as Fargate tasks are not subject to the same interruption policies as Spot Instances. EventBridge Scheduler offers a robust way to schedule the task reliably. Incorrect options: AWS Lambda has a maximum execution duration of 15 minutes, which is insufficient for a job requiring at least 1 hour. EC2 Spot Instances are cost-effective but can be interrupted with short notice, making them unsuitable for critical, uninterrupted workloads. AWS DataSync is a data transfer service, not designed for running data analysis jobs.
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