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• The amount of CPU and memory resources required by the batch job exceeds the capabilities of AWS Lambda and Amazon Lightsail with AWS Auto Scaling, which offer limited compute resources. AWS Fargate offers containerized application orchestration and scalable infrastructure, but may require additional operational overhead to configure and manage the environment. AWS Batch is a fully managed service that automatically provisions the required infrastructure for batch jobs, with options to use different instance types and launch modes.

  Therefore, the solution that will run the batch job within 15 minutes with the LEAST operational overhead is D. Use AWS Batch on Amazon EC2. AWS Batch can handle all the operational aspects of job scheduling, instance management, and scaling while using Amazon EC2 injavascript:void(0)stances with the right amount of CPU and memory resources to meet the job's requirements.

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  NolaHOla2023/02/21
• 正解だと思う選択肢: D

  AWS Batch is a fully-managed service that can launch and manage the compute resources needed to execute batch jobs. It can scale the compute environment based on the size and timing of the batch jobs.

  👍 6

  everfly2023/02/21
• 正解だと思う選択肢: D

  Not A because: "AWS Lambda now supports up to 10 GB of memory and 6 vCPU cores for Lambda Functions." https://aws.amazon.com/about-aws/whats-new/2020/12/aws-lambda-supports-10gb-memory-6-vcpu-cores-lambda-functions/ vs. "The server has 64 virtual CPU (vCPU) and 512 GiB of memory" in the question.

  👍 4

  JLII2023/03/06