SAP-C02 · Question #719
A company needs to run large batch-processing jobs on data that is stored in an Amazon S3 bucket. The jobs perform simulations. The results of the jobs are not time sensitive, and the process can with
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Question
A company needs to run large batch-processing jobs on data that is stored in an Amazon S3 bucket. The jobs perform simulations. The results of the jobs are not time sensitive, and the process can withstand interruptions. Each job must process 15-20 GB of data when the data is stored in the S3 bucket. The company will store the output from the jobs in a different Amazon S3 bucket for further analysis. Which solution will meet these requirements MOST cost-effectively?
Options
- ACreate a serverless data pipeline. Use AWS Step Functions for orchestration. Use AWS Lambda
- BCreate an AWS Batch compute environment that includes Amazon EC2 Spot Instances. Specify
- CCreate an AWS Batch compute environment that includes Amazon EC2 On-Demand Instances
- DUse Amazon Elastic Kubernetes Service (Amazon EKS) to run the processing jobs. Use
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