GCP Professional Cloud Architect Practice Question
Your analytics platform requires a single Compute Engine VM with exactly 16 vCPUs and 160 GB of RAM. The team initially chose an n2-highmem-32 instance (32 vCPUs, 256 GB) but wants to reduce hourly spend while staying on the N2 machine family. Which statement about using a custom machine type best satisfies both the workload's technical needs and cost goals?
Custom N2 machines cannot exceed 8 GB of memory per vCPU, so the workload would need at least 20 vCPUs, eliminating any cost advantage.
Create a custom N2 VM with 16 vCPUs and 160 GB RAM, enable extended memory so only the 32 GB above 128 GB is billed at a 100 percent premium; the VM still qualifies for sustained- and committed-use discounts and costs less than n2-highmem-32.
Custom machine types are always billed at the rate of the next-largest predefined shape in the same family, so a 16 vCPU/160 GB configuration would cost the same as an n2-highmem-32 instance.
Custom machine types are only available for the original N1 family and do not receive sustained-use discounts, so using them on N2 would increase total cost.
A custom N2 VM can be defined with 16 vCPUs and 160 GB of RAM. Because N2 custom machine types include up to 8 GB of memory per vCPU at the standard rate, the first 128 GB is billed normally. The remaining 32 GB requires extended memory and is charged at roughly twice the standard memory price (a 100 % premium). Even with this surcharge, the instance still costs less than an oversized n2-highmem-32 and remains fully eligible for both sustained-use and committed-use discounts. Options that assert an 8 GB-per-vCPU hard limit, cost equal to the next-largest predefined shape, or loss of discount eligibility are incorrect, and custom machine types are fully supported on the N2 family.
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