An organization is migrating a mixed application portfolio to Google Cloud and needs to model monthly infrastructure expenses accurately using the Google Cloud Pricing Calculator. The architecture consists of:
1. A continuous, non-interruptible web production cluster operating 24 hours a day, 7 days a week.
2. An asynchronous, fault-tolerant batch data transformation processing workload that runs for 4 hours each night.
3. Long-term compliance archive data that is retained indefinitely and accessed less than once per year.
Which of the following configuration options and pricing assumptions should be selected in the Google Cloud Pricing Calculator to model the lowest accurate monthly cost for this architecture? (Select TWO choices.)
- Apply Committed Use Discounts (CUDs) of 1-year or 3-years to the 24/7 web production Compute Engine instances.Answer
- Specify Spot Virtual Machines (VMs) for the nightly 4-hour batch processing pipeline instances.Answer
- CConfigure Spot Virtual Machines (VMs) for the 24/7 web production cluster instances.
- DSelect the Standard storage class for the compliance archive data to eliminate monthly capacity fees.
Answer
The correct selections are applying Committed Use Discounts (CUDs) for the 24/7 web production instances and configuring Spot Virtual Machines for the nightly 4-hour fault-tolerant batch processing workload.
Applying Committed Use Discounts to uninterrupted 24/7 workloads ensures maximum predictable cost savings without sacrificing availability. Utilizing Spot VMs for fault-tolerant, short-lived batch jobs takes advantage of discounted compute rates specifically intended for preemptible tasks.
Step-by-Step Solution
Key Concept
Selecting appropriate cost optimization inputs (CUDs, Spot VMs, and Storage Classes) based on workload availability and lifecycle requirements in the GCP Pricing Calculator.
Estimated Time:2m 30s