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Difficulty: Very hardDeploying and Managing Google Kubernetes Engine (GKE) Clusters and Workloads

An enterprise platform team is provisioning Google Kubernetes Engine (GKE) infrastructure for two application components. Component 1 is a daemon daemonset that requires privileged kernel capabilities (`CAP_SYS_ADMIN`) and custom hostPath volume mounts to load proprietary kernel modules on the underlying node. Component 2 is a stateless, fault-tolerant data ingestion pipeline designed to handle sudden instance terminations gracefully. Which cluster architecture and node pool strategy correctly supports both components while optimizing cost and operational overhead?

  1. Deploy Component 1 on a GKE Standard node pool allowing custom node configurations, and deploy Component 2 on a GKE Standard Spot node pool.Answer
  2. B
    Deploy both Component 1 and Component 2 to a GKE Autopilot cluster, configuring Spot Pods for Component 2.
  3. C
    Deploy Component 1 to a GKE Standard Spot node pool, and deploy Component 2 to a GKE Standard node pool configured with persistent SSD storage.
  4. D
    Deploy both components to a single GKE Standard node pool and enable the Horizontal Pod Autoscaler (HPA) to automatically provision new Compute Engine VM nodes when cluster CPU utilization spikes.

Answer

Deploy the privileged kernel workload (Component 1) on a GKE Standard node pool and the fault-tolerant pipeline (Component 2) on a GKE Standard Spot node pool.
GKE Standard node pools allow node-level customizations, privileged security capabilities (`CAP_SYS_ADMIN`), and raw hostPath mounts required by kernel monitoring software. Concurrently, utilizing GKE Standard Spot node pools for stateless, fault-tolerant batch workloads provides significant cost savings without risking application state loss during node preemption.

Step-by-Step Solution

1
Analyze security and operational constraints for Component 1
Component 1 requires privileged execution (`CAP_SYS_ADMIN`) and custom hostPath kernel mounts.
GKE Autopilot manages node security and disallows privileged containers, host networking, or hostPath kernel modifications. Therefore, GKE Standard node pools are mandatory for Component 1.
2
Evaluate workload fault tolerance and cost requirements for Component 2
Component 2 is stateless and handles unexpected node termination cleanly.
Spot node pools provision excess Compute Engine capacity at up to an 80% discount. Because Component 2 is fault-tolerant, deploying it on Spot node pools maximizes cost efficiency.
3
Select the optimal cluster and node pool architectural combination
GKE Standard cluster with a dedicated standard node pool for Component 1 and a Spot node pool for Component 2.
This strategy satisfies all security and system configuration constraints while keeping compute costs low.

Key Concept

GKE Autopilot vs. Standard Operational Boundaries and Spot Node Pool Selection
Estimated Time:2m 30s
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Topics

Deploying and Managing Google Kubernetes Engine (GKE) Clusters and Workloads