Easy1 markMultiple Choice
Subtask 5.3: Cost OptimizationCost OptimizationCUDsAutoscalingCase Study
This question is part of a case study — click to read the full scenario(Case 06)

CASE STUDY: ShopGlobal
Overview: Retailer, 2000 employees, $500M revenue. US-Central co-lo, Java/Tomcat monolith, Oracle RAC 20TB, batch inventory sync.
Business Req: Handle 10x Black Friday spikes, personalized recommendations, modernize to microservices.
Execs: CEO wants omnichannel; CFO needs predictable spend; CTO demands zero downtime cutover.
Tech Req: PCI-DSS compliance, automated image processing, real-time inventory, CI/CD.
Constraints: Complex Oracle stored procedures, team learning containers, strict bi-annual audits.

QUESTION:
Which compute platform should you recommend for the modernized microservices architecture, considering the team is just learning containers?

GCP PCA · Question 10 · Cost Optimization

CASE STUDY: ShopGlobal
Overview: Retailer, 2000 employees, $500M revenue. US-Central co-lo, Java/Tomcat monolith, Oracle RAC 20TB, batch inventory sync.
Business Req: Handle 10x Black Friday spikes, personalized recommendations, modernize to microservices.
Execs: CEO wants omnichannel; CFO needs predictable spend; CTO demands zero downtime cutover.
Tech Req: PCI-DSS compliance, automated image processing, real-time inventory, CI/CD.
Constraints: Complex Oracle stored procedures, team learning containers, strict bi-annual audits.

QUESTION:
To satisfy the CFO's requirement for predictable cloud spend while handling the 10x Black Friday spikes, what pricing strategy should you use for compute resources?

Answer options:

A.

Purchase Committed Use Discounts (CUDs) for the maximum expected Black Friday traffic.

B.

Rely entirely on Spot VMs to minimize costs during traffic spikes.

C.

Purchase Committed Use Discounts (CUDs) for baseline traffic and use autoscaling for the spikes.

D.

Use Sustained Use Discounts (SUDs) exclusively, as they require no upfront commitment.

How to approach this question

Combine a discount mechanism for predictable baseline load with elasticity for unpredictable spikes.

Full Answer

C.Purchase Committed Use Discounts (CUDs) for baseline traffic and use autoscaling for the spikes.✓ Correct
Purchase Committed Use Discounts (CUDs) for baseline traffic and use autoscaling for the spikes.
Committed Use Discounts (CUDs) offer deep discounts (up to 57-70%) in exchange for a 1- or 3-year commitment, perfect for baseline predictable spend. Autoscaling standard instances handles the 10x spikes without requiring a year-long commitment for temporary capacity.

Common mistakes

Committing to the peak load (A), which wastes money, or using Spot VMs (B) for critical workloads.

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