Topic 1 Question 405
A company is preparing to deploy an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for a workload. The company expects the cluster to support an unpredictable number of stateless pods. Many of the pods will be created during a short time period as the workload automatically scales the number of replicas that the workload uses.
Which solution will MAXIMIZE node resilience?
Use a separate launch template to deploy the EKS control plane into a second cluster that is separate from the workload node groups.
Update the workload node groups. Use a smaller number of node groups and larger instances in the node groups.
Configure the Kubernetes Cluster Autoscaler to ensure that the compute capacity of the workload node groups stays underprovisioned.
Configure the workload to use topology spread constraints that are based on Availability Zone.
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コメント(8)
- 正解だと思う選択肢: D
Use Topology Spread Constraints Based on Availability Zone
👍 5thala2023/11/22 - 正解だと思う選択肢: D
I guess D, because question requres to MAXIMIZE NODE resilience. Node not workload, so we need to spread nodes across AZs.
👍 4HunkyBunky2023/11/23 - 正解だと思う選択肢: D
D is the answer. Configuring the workload to use topology spread constraints based on Availability Zone — is the best solution to maximize node resilience. This approach enhances the stability and availability of the EKS cluster by ensuring that the workload is evenly spread across different Availability Zones, thereby mitigating the risks associated with zone-specific failures or performance issues.
Remember, it's asking about Node Resilience, not Pod Resilience
👍 3heatblur2023/11/26
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