AWS Certified Solutions Architect – Associate (SAA-C03) — Question 859

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?

Answer options

• 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.
• B. Configure the job to run in an AWS Lambda function. Create a scheduled rule in Amazon EventBridge to invoke the Lambda function.
• C. Configure an Auto Scaling group of Amazon EC2 Spot Instances that run Amazon Linux. Configure a crontab entry on the instances to run the analysis.
• D. Configure an AWS DataSync task to run the job. Configure a cron expression to run the task on a schedule.

Correct answer: A

Explanation

AWS Fargate running on Amazon ECS is ideal for this scenario because it can run containerized tasks for extended periods without the 15-minute execution limit imposed by AWS Lambda. Amazon EC2 Spot Instances are incorrect because they can be interrupted with a 2-minute warning, which violates the requirement that the stateful job cannot tolerate interruptions. AWS DataSync is a data transfer service and is not designed for running custom data analysis processing jobs.