An organization is preparing to migrate an enterprise application stack to Google Cloud and needs to model monthly infrastructure expenses using the Google Cloud Pricing Calculator. The target architecture includes a continuous 24/7 web application backend with predictable resource demand, along with a separate stateless batch data processing job that is fault-tolerant. Which of the following configuration options in the Pricing Calculator should be selected to accurately model valid cost-reduction strategies for these workloads? (Select TWO answers.)
- Apply Committed Use Discounts (CUDs) for the steady-state 24/7 application backend virtual machines.Answer
- BAssign Coldline Storage class to dataset buckets that are read and queried multiple times every day.
- Model the stateless, fault-tolerant batch processing compute instances as Spot VMs.Answer
- DSelect GKE Standard node pools when the mandatory requirement is to completely eliminate cluster node maintenance overhead.
Answer
The correct selections are applying Committed Use Discounts for the steady-state 24/7 backend virtual machines and modeling the stateless fault-tolerant batch processing instances as Spot VMs.
Applying Committed Use Discounts (CUDs) for predictable 24/7 compute capacity provides significant cost reductions on baseline infrastructure. Additionally, leveraging Spot VMs for stateless, fault-tolerant batch workloads drastically reduces compute pricing because the workload can recover if instances are preempted by Google Cloud.
Step-by-Step Solution
Key Concept
Pricing Calculator Discount Modeling (CUDs and Spot VMs)
Estimated Time:1m 30s