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VMware · Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service · 3V0-24.25 · Version V9.02

Question 5

Topic: VCF 9.0 VKS – 3V0-24.25 Study Bank

Question type: Multiple · Difficulty: Medium

A VKS administrator is tasked to leverage day-2 controls to monitor, scale, and optimize Kubernetes clusters across multiple operating systems and workload characteristics. What two steps should the administrator take? (Choose two.)

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Answer

  • A. Configure namespace quotas to set resource limits for CPU, memory, and storage. Correct
  • B. Disable Cluster Autoscaler to ensure resources in the pool are not depleted.
  • C. Deploy Prometheus and Grafana to collect and display scrapeable metrics on nodes, pods, and applications. Correct
  • D. Set all VM Class limits to Compute Heavy to ensure worker nodes get all the resources needed.
  • E. Ensure all node pools use the same Machine Deployment configuration for different workload characteristics.

Explanation

VCF 9.0 describes a vSphere Namespace as the control point where administrators define resource boundaries for workloads, explicitly stating that vSphere administrators can create namespaces and “configure them with specified amount of memory, CPU, and storage,” and that you can “set limits for CPU, memory, storage” for a namespace. This directly supports step Aas a day-2 control to keep multi- tenant clusters governed and prevent resource contention across different teams and workload types. For monitoring and optimization, VCF 9.0 explains that day-2 operations include visibility into utilization and operational metrics for VKS clusters, noting that application teams can use day-2 actions and gain insights Into CPU and memory utilization and advanced metrics (including contention and availability) for VKS clusters. In addition, VCF 9.0 monitoring guidance for VKS clusters states that Telegraf and Prometheus must be installed and configured on each VKS cluster before metrics and object details are sent for monitoring, and that VCF Operations supports metrics collection for Kubernetes objects (namespaces, nodes, pods, containers) via Prometheus. Since the Prometheus stack commonly includes Grafana dashboards for visualization, deploying Prometheus + Grafana matches the required monitoring/optimization outcome inC.