Courseiva
vSphere Performance and ScalinghardMultiple ChoiceObjective-mapped

vSAN Cache Hit Ratio: Diagnose and Fix Low Read Cache Hit Rate

Your company has a vSphere 7 environment with four clusters: Cluster-A (production VMs), Cluster-B (development), Cluster-C (database), and Cluster-D (VDI). Each cluster has 8 hosts with 256 GB RAM and dual 12-core CPUs (hyper-threading enabled). The environment uses vSAN for storage, with all-flash disk groups (1 NVMe cache + 4 SATA SSD capacity per host). You are the lead administrator. Recently, users in the VDI cluster (Cluster-D) report slow logins and application responsiveness during peak hours (9-11 AM). You examine the vSAN performance metrics and see that the cache hit ratio during peak hours drops to 60%, and the average read latency is 15 ms. The VMs are thin provisioned and use a storage policy with RAID-1 mirroring (FTT=1). The cluster has DRS enabled with default migration threshold. What should you do to improve VDI performance without disruptive changes?

Quick Answer

Adding a second NVMe cache device or upgrading to higher-endurance NVMe drives is correct because the metrics point directly at the cache tier running out of capacity during peak load, not at a networking or policy problem. In an all-flash vSAN disk group, the NVMe device serves purely as a write buffer and read cache accelerator sitting in front of the slower SATA SSD capacity tier; when the active working set during peak hours exceeds what that cache can hold, reads increasingly have to fall back to the capacity tier, which is exactly what a dropping cache hit ratio and rising read latency during a specific time window indicates. Since VDI logins and application launches during peak hours generate a burst of similar, repeated read activity, that is precisely the kind of workload that benefits from a larger or faster cache, and expanding the cache tier addresses the bottleneck without touching the storage policy, migrating VMs, or reconfiguring the cluster in any disruptive way. This differs from a scenario where latency is high evenly across all hours, which would point more toward an undersized capacity tier or network issues rather than a peak-hours cache problem. When performance degrades specifically during a predictable high-demand window and vSAN's own cache hit ratio metric drops alongside it, look for an answer that grows the cache tier rather than one that touches networking, policy, or compute.

⚠ Common exam trap

Test-takers frequently confuse capacity (adding more SATA SSDs) with cache performance, or mistakenly think changing the storage policy to RAID-5 will improve read latency, when the real fix is expanding the NVMe cache layer to handle the VDI working set.

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

Add a second NVMe cache device or upgrade to higher-endurance NVMe drives in each host to increase cache size.

The VDI cluster's poor performance is caused by a low cache hit ratio (60%) and high read latency (15 ms) during peak hours. Adding a second NVMe cache device or upgrading to higher-endurance NVMe drives increases the cache size, allowing more read data to be served from the fast cache layer rather than the slower SATA SSD capacity tier. This directly improves the cache hit ratio and reduces read latency without requiring disruptive changes to 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.

  • Disable DRS for the VDI cluster to prevent VMs from migrating during peak hours.

    Why it's wrong here

    Disabling DRS may cause imbalance, not improve cache performance.

  • Change the VM storage policy to RAID-5 erasure coding to reduce capacity overhead, freeing cache for reads.

    Why it's wrong here

    RAID-5 does not directly improve read cache hit ratio and may increase write overhead.

  • Add more SATA SSD capacity disks to each host to increase overall storage performance.

    Why it's wrong here

    More capacity disks increase throughput but not cache hit ratio.

  • Add a second NVMe cache device or upgrade to higher-endurance NVMe drives in each host to increase cache size.

    Why this is correct

    Larger cache improves hit ratio and reduces read latency.

Quick reference

RAID Level Comparison

RAID LevelMin DisksFault ToleranceReadWriteUsable Capacity
RAID 02NoneExcellentExcellent100%
RAID 121 diskGoodModerate50%
RAID 531 diskGoodModerate67–94%
RAID 642 disksGoodLower50–88%
RAID 1041 disk per mirrorExcellentGood50%

RAID is not a backup strategy — it protects against disk failure but not against accidental deletion, ransomware, or site-level events.

About these practice questions

This VCP-DCV question is part of Courseiva's 498-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Same concept, more angles

1 more way this is tested on VCP-DCV

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company runs a large vSphere environment with multiple clusters using vSAN. The performance team observes that some VMs are experiencing high latency on reads. The vSAN cluster is configured with 5 hosts, each having one cache tier (NVMe) and one capacity tier (SATA SSD). The VMs are all-flash storage policies. What should the administrator check first?

hard
  • A.Disable deduplication and compression on the vSAN datastore.
  • B.Check the vSAN cache hit ratio and verify that the cache tier size is adequate.
  • C.Reconfigure the disk groups to use multiple cache devices.
  • D.Increase the network bandwidth between hosts.

Why B: High read latency in an all-flash vSAN environment often indicates that the cache tier is being overwhelmed or is undersized. The cache hit ratio directly measures how often read requests are served from the fast NVMe cache versus the slower SATA SSD capacity tier. A low cache hit ratio means the capacity tier is handling too many reads, causing latency. Checking this ratio is the first diagnostic step before making configuration changes.

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This VCP-DCV practice question is part of Courseiva's free VMware certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the VCP-DCV exam.