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vSphere Performance and ScalinghardMultiple SelectObjective-mapped

VCP-DCV vSphere Performance and Scaling Practice Question

Which THREE factors should be considered when designing a vSphere environment to minimize vCPU overcommitment and improve performance for CPU-intensive workloads?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Align VM memory with NUMA nodes to reduce remote memory access.

NUMA-aware VM placement ensures that vCPUs access memory from the local NUMA node, reducing remote memory latency and improving performance for CPU-intensive workloads. Option B is correct because selecting hosts with a high physical core count per socket reduces CPU contention and provides more dedicated resources for each VM. Option E is correct because CPU scheduling modes like 'Core Level' allow vSphere to schedule VMs at the core level, minimizing co-scheduling overhead and improving performance for CPU-bound workloads. Option C is incorrect because using VMs with a high number of vCPUs (e.g., 2:1 ratio to pCPUs) increases vCPU overcommitment, leading to resource contention and degraded performance for CPU-intensive workloads. Option D is incorrect because enabling Hyper-Threading increases logical CPUs, but for heavily CPU-bound workloads that saturate physical cores, Hyper-Threading can cause resource sharing conflicts and may not improve performance; it can even degrade it due to increased contention for shared execution resources.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Align VM memory with NUMA nodes to reduce remote memory access.

    Why this is correct

    NUMA-aware placement improves memory access performance.

  • Select hosts with a high physical core count per socket.

    Why this is correct

    More cores provide more resources for VMs.

  • Use VMs with a high number of vCPUs (e.g., 2:1 ratio to pCPUs).

    Why it's wrong here

    High vCPU count increases contention and scheduling overhead.

  • Enable Hyper-Threading on all hosts.

    Why it's wrong here

    Hyper-Threading helps parallelize, but for CPU-bound workloads it may not reduce overcommitment; it can increase contention.

  • Use CPU scheduling modes like 'Core Level' to increase performance.

    Why this is correct

    Core-level scheduling reduces co-stop contention.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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