VCP-DCV vSphere Performance and Scaling Practice Question
A vSphere administrator is scaling a cluster that runs a latency-sensitive trading application. The application VMs must consistently receive CPU time with minimal scheduling delay, while other workloads on the same hosts must still run. Which TWO configurations should the administrator apply to the trading VMs to reduce CPU scheduling delay? (Choose two.)
⚠ Common exam trap
The trap here is treating a CPU limit as a way to guarantee performance, when a limit actually caps usage and can introduce throttling.
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
✓
Assign a high CPU shares value to the trading VMs relative to other VMs.
CPU reservations guarantee minimum MHz and CPU shares establish relative priority during contention; together they reduce ready time for latency-sensitive VMs. Limits and lower shares restrict or deprioritize workloads, and disabling hyperthreading reduces schedulable capacity. Applying reservations and elevated shares targets the scheduling delay directly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Assign a high CPU shares value to the trading VMs relative to other VMs.
Why this is correct
CPU shares determine the relative priority of a VM when the host is contended. Giving trading VMs a high shares value means that during contention they receive a larger proportion of available CPU time, reducing queuing delay. Shares work only under contention, which matches the scaling scenario where multiple workloads compete for cores.
- ✓
Set a CPU reservation on each trading VM that guarantees a minimum amount of MHz.
Why this is correct
A CPU reservation guarantees that the specified amount of physical CPU resources is available to the VM, reducing the chance that the scheduler delays its vCPUs. For latency-sensitive trading workloads, a reservation provides deterministic access to CPU capacity, directly lowering ready time and stabilizing performance under contention.
- ✗
Move the trading VMs into a resource pool with a lower CPU share value than the default.
Why it's wrong here
A resource pool with lower shares than the default reduces the relative priority of its members during contention, which would increase rather than decrease scheduling delay for the trading VMs. This directly opposes the goal of minimizing CPU ready time for a latency-sensitive application in a scaled cluster.
- ✗
Set a CPU limit on the trading VMs to cap their maximum usage.
Why it's wrong here
A CPU limit caps the maximum MHz a VM can consume and can introduce artificial throttling and scheduling delays when the VM needs more CPU. For a latency-sensitive application, a limit is counterproductive because it constrains burst capacity. Limits restrict rather than prioritize, so they do not reduce scheduling delay.
- ✗
Disable hyperthreading on the hosts to ensure each vCPU maps to a full physical core.
Why it's wrong here
Hyperthreading exposes logical processors that ESXi can schedule vCPUs onto, generally increasing throughput. Disabling it reduces the number of schedulable entities and can lower overall capacity, potentially worsening contention. It does not provide the deterministic priority that reservations and shares deliver for latency-sensitive workloads.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official VMware exam blueprint
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