Easy1 markMultiple Choice
Domain 5: Managing Implementation and Ensuring ReliabilityDomain 5Cost OptimizationCompute EngineCustom Machine Types

GCP PCA · Question 50 · Domain 5: Managing Implementation and Ensuring Reliability

A startup is running their application on Compute Engine. They have a predictable baseline load that runs 24/7, but they also have a unique workload that requires exactly 5 vCPUs and 12 GB of RAM. They want to minimize their monthly compute bill. Which TWO features should they utilize? (Select TWO)

Answer options:

A.

Sustained Use Discounts (SUDs) for the baseline load.

B.

Committed Use Discounts (CUDs) for the baseline load.

C.

Provision an n2-standard-8 machine type (8 vCPUs, 32 GB RAM) to ensure the unique workload has enough resources.

D.

Create a Custom Machine Type with exactly 5 vCPUs and 12 GB of RAM.

E.

Use Preemptible VMs for the baseline load.

How to approach this question

Match 'predictable baseline' to CUDs. Match 'unique exact resource requirements' to Custom Machine Types.

Full Answer

To optimize Compute Engine costs, you should purchase Committed Use Discounts (CUDs) for any workload that you know will run 24/7 for the next 1-3 years. For workloads with odd resource requirements (like 5 vCPUs), Google Cloud offers Custom Machine Types. Instead of forcing you to buy an 8-vCPU standard machine (and wasting 3 vCPUs), you can build a VM with exactly 5 vCPUs and 12 GB of RAM, paying only for what you provision.

Common mistakes

Relying on SUDs (A). SUDs are great because they are automatic, but if you *know* the load is predictable, CUDs offer significantly higher savings.

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