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Scaling with Google Cloud operationsmediumMultiple ChoiceObjective-mapped

Cloud Digital Leader Scaling with Google Cloud operations Practice Question

A cloud team performs a quarterly review of its Compute Engine instances and discovers 15 VMs that have had zero CPU utilization for over 90 days. What is the recommended operational response to these idle resources?

⚠ Common exam trap

It's easy for candidates to assume idle VMs have negligible cost, overlooking the ongoing charges for persistent disks and static IPs, or mistakenly think committed use discounts are a catch-all cost-saving measure for any VM.

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

Investigate whether each VM is still needed; delete confirmed unused VMs to eliminate wasted spend, potentially saving thousands per month

The recommended operational response to idle Compute Engine instances is to investigate their necessity and delete them if unused. Idle VMs with zero CPU utilization for over 90 days incur ongoing costs for persistent disks, static IPs, and other attached resources, even if the CPU is idle. Deleting confirmed unused VMs eliminates this wasted spend, potentially saving thousands per month, aligning with Google Cloud's cost optimization best practices.

Answer analysis

Option-by-option breakdown

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

  • Leave the VMs running in case they are needed for future workloads — storage costs are minimal for idle VMs

    Why it's wrong here

    Idle VMs still accrue compute costs (vCPU and memory) on a per-second basis, which typically dwarf any storage charges. Persistent disk storage is billed separately regardless of whether the VM is running, but stopping or deleting the VM can halt compute billing entirely while preserving the disks. Furthermore, re-creating a VM from a custom image or snapshot takes minutes, so keeping instances running purely 'in case' is an avoidable and often substantial recurring expense.

  • Investigate whether each VM is still needed; delete confirmed unused VMs to eliminate wasted spend, potentially saving thousands per month

    Why this is correct

    This is the correct operational response. Investigate first (some may have legitimate low-utilization purposes like DR standby), then delete confirmed waste. 15 idle VMs can represent significant ongoing cost that stops immediately upon deletion. Cloud's on-demand model means these can be re-created if needed.

  • Upgrade the idle VMs to larger machine types so they can handle future workloads if needed

    Why it's wrong here

    Upgrading idle VMs to larger machine types increases the per-hour price for each instance because compute billing scales with vCPU and memory capacity, so the waste grows immediately. Since the workload is not running, added capacity provides no performance benefit, and you would be paying for resources that no application consumes. If a future workload truly needs more power, you can create a new instance with the desired machine type or resize the existing one from a snapshot at that time.

  • Apply committed use discounts to the idle VMs to reduce their cost while keeping them available

    Why it's wrong here

    Committed use discounts require a 1-year or 3-year contract that locks in a monthly charge for the provisioned vCPUs and memory, even if the VM is later deleted. Applying such a commitment to machines with zero useful utilization simply guarantees a fixed, ongoing cost for waste, and you may forfeit the discount or pay an early-termination penalty if you try to cancel. The only way to truly reduce spend on unused resources is to deprovision them, not to discount them.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This GCDL practice question is part of Courseiva's free Google Cloud 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 GCDL exam.