Professional-Cloud-Architect Exam Dumps | Your product learn is building a critical, customer-facing application on Google Cloud The development

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Google.Professional-Cloud-Architect.v2026-11-03.q150
Question 141

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Question 141/150

Your product learn is building a critical, customer-facing application on Google Cloud The development team wants to use Spanner for their database to take advantage of its horizontal scalability and low operational overhead However, the FinOps team is concerned about the direct monthly cost of Spanner and proposed using a self-managed PostgreSQL database on Compute Engine VMs instead. You need to resolve this conflict and ensure the project moves forward with an architecturally sound database choice that balances technical requirements with financial constraints. What should you do?

A. Suggest using Cloud SQL for PostgreSQL as a compromise to get a managed service at a lower cost than Spanner.

B. Develop a total cost of ownership (TCO) analysis that includes operational overhead, and present it m a workshop to facilitate a decision.

C. Provide the development team with a reference architecture for deploying a highly available PostgreSQL cluster on a regional managed instance group (MIG).

D. Cite the reliability and performance optimization pillars of the Google Cloud Well-Architected Framework to formally justify the use of Spanner.

Correct Answer: B

This question highlights the classic conflict between Sticker Price (direct cost) and Operational Expense (OpEx). While a Compute Engine VM running PostgreSQL (Option C) looks cheaper on a monthly bill, it ignores the cost of human labor. A Total Cost of Ownership (TCO) analysis (Option B) is the professional architectural approach to resolve this. It accounts for the salary of DBAs required to manage sharding, patching, and manual failovers-tasks that Spanner handles automatically. For a " critical, customer-facing application " requiring horizontal scale, the TCO will almost always show that Spanner is cheaper in the long run because it reduces the " 900-hour time sink " of manual database maintenance.

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