AWS Certified Solutions Architect Professional SAP-C02 Practice Question

An e-commerce company runs several containerized microservices as long-running tasks on Amazon ECS. The tasks are scheduled on a cluster of c6i.large instances that belong to an Auto Scaling group. Traffic peaks for about 3 hours each evening, so the operations team keeps enough EC2 capacity online to cover the peak and spends time every month patching AMIs and resizing instances. The company wants to modernize the workload so that it removes the need to provision and patch EC2 cluster instances, bills only for the vCPU and memory resources consumed while tasks are running, and does not require rebuilding container images or changing application code. Which approach will achieve these goals with the LEAST operational effort?

  • Keep the existing ECS cluster but enable predictive scaling on the Auto Scaling group and purchase 3-year Compute Savings Plans to lower EC2 costs.

  • Rebuild each microservice as an AWS Lambda function deployed from the current container images and expose them through Amazon API Gateway HTTP APIs.

  • Create an Amazon EKS cluster with managed node groups and migrate the services to Kubernetes Deployments that use the Cluster Autoscaler for scaling.

  • Update the ECS services to use an AWS Fargate and Fargate Spot capacity provider so that all tasks run on serverless container capacity instead of the Auto Scaling group.

AWS Certified Solutions Architect Professional SAP-C02
Accelerate Workload Migration and Modernization
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