AWS Certified Solutions Architect Professional SAP-C02 Practice Question
A company runs more than 100 microservices on Amazon EKS. The clusters currently use managed node groups with Bottlerocket AMIs, but the platform team still spends about 20 hours each week patching and replacing worker nodes. The company wants to reduce infrastructure provisioning and patching overhead while continuing to use Kubernetes-native features such as custom resource definitions (CRDs), DaemonSets, and IAM roles for service accounts (IRSA). Application containers must remain in the existing VPC and require no significant refactoring.
Which deployment strategy best meets these requirements?
Replace the managed node groups with self-managed Auto Scaling groups running an Amazon Linux 2 AMI and automate patching by using AWS Systems Manager Patch Manager.
Migrate the microservices to an Amazon ECS cluster that uses an EC2 launch type and enable automated AMI updates for the container instances.
Create Fargate profiles for the relevant EKS namespaces and schedule the microservice Pods on AWS Fargate instead of EC2 worker nodes.
Port each microservice to AWS App Runner and decommission the EKS clusters.
Running the workloads on AWS Fargate profiles attached to the existing Amazon EKS cluster removes the need to provision or patch any EC2 worker nodes. AWS operates and patches the underlying infrastructure, yet the cluster still exposes the full Kubernetes control plane, so CRDs, DaemonSets (where supported), and IRSA continue to work without application changes. Switching to self-managed nodes (with or without Systems Manager) or to ECS/App Runner would either keep the patching burden or require a full platform migration, so they do not meet the goal of minimizing operational overhead while retaining the Kubernetes API.
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AWS Certified Solutions Architect Professional SAP-C02
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