A solutions architect is configuring cost estimates in the Google Cloud Pricing Calculator for a hybrid enterprise application. The architecture consists of long-running database servers, batch worker nodes running fault-tolerant tasks, and long-term application logs. Which of the following recommendations correctly describe how to model these components accurately in the Pricing Calculator? (Select TWO.)
- Apply Committed Use Discounts (CUDs) for the backend database servers to reflect guaranteed baseline workload savings over a 1-year or 3-year commitment term.Answer
- Calculate Cloud Storage estimates by factoring in data retrieval costs and network egress alongside raw storage volume based on expected log access patterns.Answer
- CInclude Sustained Use Discounts (SUDs) on top of the discounted rate when modeling Spot VMs for the batch worker nodes.
- DSelect the Archive storage class for active logs accessed on a daily basis to achieve the lowest overall monthly cost calculation.
Answer
The correct recommendations are to apply Committed Use Discounts (CUDs) for predictable backend database instances and to factor in data retrieval and egress fees alongside raw storage volume for Cloud Storage estimates.
Applying Committed Use Discounts (CUDs) is appropriate for steady-state workloads such as database instances to accurately reflect 1-year or 3-year term savings. Additionally, Cloud Storage pricing calculations must account for data retrieval and network egress charges in addition to raw capacity.
Step-by-Step Solution
Key Concept
Accurate GCP cost estimation using the Google Cloud Pricing Calculator requires matching steady-state compute workloads with Committed Use Discounts and considering operational data retrieval/egress fees alongside storage class tiers.