2V0-71.23 exam dumps

2V0-71.23 practice question 263 of 355

VMware Certified Professional - Tanzu for Kubernetes Operations 2024. Associate level, VMware. Free question with the correct answer and a full explanation.

2V0-71.23 Question 263

Single answer

Your organization has deployed vSphere with Tanzu, and you are tasked with configuring VM classes to ensure optimal resource allocation for different workloads. Which of the following statements about vSphere with Tanzu VM Classes is correct?

  1. A

    VM Classes define the CPU, memory, and storage resources allocated to a virtual machine in a Kubernetes Namespace.

  2. B

    VM Classes automatically scale CPU and memory resources based on workload demands without additional configuration.

  3. C

    VM Classes are a mandatory feature in vSphere with Tanzu and cannot be customized by administrators.

  4. D

    VM Classes allow administrators to define preset resource configurations, which can be referenced when deploying Tanzu Kubernetes clusters.

Show answer and explanation

Correct answer: D

Explanation

VM Classes in vSphere with Tanzu provide a way to standardize and manage resource allocation for virtual machines used in Tanzu Kubernetes clusters. These classes define CPU and memory resources, which can be referenced during cluster deployment. However, they do not include storage, are not mandatory, and do not support auto-scaling.

  • A. Incorrect.

    Incorrect: While VM Classes define CPU and memory resources (not storage) for a virtual machine, they are not tied directly to Kubernetes Namespaces but are instead used for Tanzu Kubernetes cluster node configurations.

  • B. Incorrect.

    Incorrect: VM Classes do not provide auto-scaling capabilities. They are static configurations that define resource allocation for VMs.

  • C. Incorrect.

    Incorrect: VM Classes are not mandatory; administrators can customize or create their own VM Classes based on workload requirements.

  • D. Correct.

    Correct: VM Classes are pre-defined or customizable resource configurations that administrators use to manage the resource allocation for Tanzu Kubernetes clusters and their nodes.

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