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CV0-004 Troubleshooting Practice Question

A cloud engineer is troubleshooting a VM that is experiencing high latency. The VM is hosted on a hypervisor with other VMs. Which TWO metrics should the engineer review to identify if resource contention is occurring?

⚠ Common exam trap

CompTIA often tests the distinction between guest-level metrics (swap usage, disk queue length) and hypervisor-level metrics (ballooning, ready time), and the trap here is that candidates confuse swap usage (guest OS paging) with memory ballooning (hypervisor reclaim), or assume network packet drops indicate VM contention rather than network issues.

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

Memory ballooning

Memory ballooning (A) is a VMware mechanism where the hypervisor reclaims idle memory from a VM by inflating a balloon driver, forcing the VM to swap. High ballooning indicates memory overcommitment and contention, directly causing latency. CPU ready time (B) measures the time a VM is ready to run but waiting for a physical CPU core; elevated ready time signals CPU contention among VMs on the same hypervisor.

Answer analysis

Option-by-option breakdown

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

  • Memory ballooning

    Why this is correct

    Correct; memory ballooning indicates memory contention.

  • CPU ready time

    Why this is correct

    Correct; high CPU ready time indicates CPU contention.

  • Network packet drops

    Why it's wrong here

    Incorrect; packet drops indicate network issues, not resource contention.

  • Swap usage

    Why it's wrong here

    Incorrect; swap usage can indicate memory pressure but ballooning is the direct metric.

  • Disk queue length

    Why it's wrong here

    Incorrect; disk queue length indicates storage contention, not CPU/memory.

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Last reviewed: Jun 30, 2026

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