VCP-DCV vSphere Performance and Scaling Practice Question
Which THREE factors should be considered when sizing a host cluster for a VDI environment with 1000 desktops? (Choose three.)
⚠ Common exam trap
Candidates often confuse operational features (like vMotion compatibility) with true capacity-sizing factors, or they mistakenly think NUMA alignment is a sizing input rather than a post-deployment optimization.
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
✓
Storage IOPS capacity for boot storms.
Option C is correct because boot storms in a 1000-desktop VDI environment generate massive concurrent storage I/O, so the datastore's IOPS capacity (and latency) must be sized to absorb peak demand without degrading performance. Option D is correct because VDI workloads are CPU-intensive, so the vCPU-to-physical-core ratio must be kept within acceptable limits (typically 4:1 to 8:1 depending on workload) to prevent CPU contention and ready time. Option E is correct because memory is usually the most constrained resource in VDI; the memory overcommitment ratio and per-host available memory must be calculated so that each desktop receives its required working set without excessive swapping or ballooning. Option A is not a sizing factor but a design/operational requirement for cluster mobility, and Option B, while relevant to performance tuning, is not a primary capacity-sizing factor for the cluster.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
vMotion compatibility between hosts.
Why it's wrong here
vMotion compatibility governs whether running VMs can migrate between hosts, not how many hosts the cluster needs. It is the deciding factor when designing clusters for maintenance or DRS evacuation, rather than for sizing 1000 VDI desktops.
- ✗
NUMA alignment of virtual desktops.
Why it's wrong here
NUMA alignment is a per-VM placement and tuning concern, not a cluster capacity input; it does not determine how many hosts the 1000 desktops require. It matters when pinning large, latency-sensitive VMs, such as databases, to a single NUMA node.
- ✓
Storage IOPS capacity for boot storms.
Why this is correct
Storage IOPS capacity directly addresses the boot-storm constraint: when 1000 desktops power on simultaneously, concentrated read/write bursts can saturate the datastore and stall logons. Sizing must account for peak concurrent IOPS, not steady-state averages, since VMware's linked-clone and full-clone desktops both amplify boot-time demand.
- ✓
vCPU-to-core ratio to prevent CPU contention.
Why this is correct
Sizing 1000 desktops demands accounting for vCPU-to-core overcommitment, since excessive consolidation causes CPU contention and latency across all virtual desktops. The stem's scale makes this constraint critical: without a defensible ratio, host clusters cannot absorb peak login storms or steady-state workloads, so this factor directly governs cluster capacity planning.
- ✓
Memory overcommitment ratio and available memory per host.
Why this is correct
Memory overcommitment ratio and available memory per host directly govern how many desktops a host can support, since VDI workloads are memory-bound rather than CPU-bound. TPS or swap overhead from excessive overcommitment degrades performance, so the sizing must respect the per-host memory ceiling imposed by the 1000-desktop constraint.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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