A company is planning to host a production web application frontend on Google Compute Engine that runs 24/7. Profiling shows the application specifically requires 3 vCPUs and 6 GB of RAM, which does not match any predefined machine type. Which TWO compute planning decisions should the cloud engineer select to meet these requirements cost-effectively while ensuring high availability? (Select TWO answers.)
- Configure a custom machine type with 3 vCPUs and 6 GB of memory to match the workload requirements.Answer
- Purchase Committed Use Discounts (CUDs) for the predictable baseline compute capacity of the 24/7 web application.Answer
- CProvision the web application instances as Spot VMs to lower infrastructure operating costs.
- DMigrate the legacy web frontend directly to Cloud Functions to achieve event-driven micro-billing.
Answer
The correct decisions are to configure a custom machine type tailored to 3 vCPUs and 6 GB of memory, and to purchase Committed Use Discounts for the predictable continuous workload.
Custom machine types allow precise sizing of vCPUs and memory when non-standard ratios are required, avoiding unnecessary costs of larger predefined types. Additionally, Committed Use Discounts are ideal for predictable, steady-state workloads running 24/7.
Step-by-Step Solution
Key Concept
Planning Compute Engine machine sizing with Custom Machine Types and cost optimization using Committed Use Discounts.