Medium1 markMultiple Choice
Subtask 5.3: Cost OptimizationCost OptimizationTeam EnablementCUDs
This question is part of a case study — click to read the full scenario(Case 01)

CASE STUDY: TechStream Gaming

Company Overview: TechStream Gaming is a global gaming company with 500 employees and $50M annual revenue.
Current Environment: On-premises data centers in US and EU. 200 servers. MySQL databases (5 TB). Peak users: 2M. Cost: $100K/mo.
Business Requirements: Reduce costs by 40%. Support 5x user growth. Launch in APAC, SA, Africa. Improve deployment to daily.
Executive Statements: CEO: 'Scale rapidly.' CFO: 'Max $100K/mo, ROI 18mo.' CTO: 'Limited cloud exp, 99.95% uptime.'
Technical Requirements: <100ms latency globally. Real-time analytics. 5x traffic spikes. EU data residency. DDoS protection. CI/CD.
Constraints: 12-month migration. Max 4-hour downtime. 20 devs (Java/MySQL), 5 ops (limited cloud). Budget $2M.

QUESTION:
Which migration strategy and compute architecture should you recommend for the game servers to meet the business and technical requirements while addressing the CTO's constraints?

GCP PCA · Question 05 · Cost Optimization

CASE STUDY: TechStream Gaming

Company Overview: TechStream Gaming is a global gaming company with 500 employees and $50M annual revenue.
Current Environment: On-premises data centers in US and EU. 200 servers. MySQL databases (5 TB). Peak users: 2M. Cost: $100K/mo.
Business Requirements: Reduce costs by 40%. Support 5x user growth. Launch in APAC, SA, Africa. Improve deployment to daily.
Executive Statements: CEO: 'Scale rapidly.' CFO: 'Max $100K/mo, ROI 18mo.' CTO: 'Limited cloud exp, 99.95% uptime.'
Technical Requirements: <100ms latency globally. Real-time analytics. 5x traffic spikes. EU data residency. DDoS protection. CI/CD.
Constraints: 12-month migration. Max 4-hour downtime. 20 devs (Java/MySQL), 5 ops (limited cloud). Budget $2M.

QUESTION:
To address the CFO's cost concerns and the CTO's team constraints, which combination of strategies should you implement?

Answer options:

A.

Purchase Sustained Use Discounts for all VMs and hire 10 new cloud-native operations engineers.

B.

Implement Committed Use Discounts for baseline load, use Spot VMs for batch processing, and enroll the ops team in Google Cloud Skills Boost.

C.

Use Preemptible VMs for the primary game servers to save 80% and outsource operations to a Managed Service Provider.

D.

Migrate entirely to Cloud Run to pay only per request and fire the existing operations team.

How to approach this question

Balance cost optimization techniques (CUDs, Spot) with team enablement (training).

Full Answer

B.Implement Committed Use Discounts for baseline load, use Spot VMs for batch processing, and enroll the ops team in Google Cloud Skills Boost.✓ Correct
Committed Use Discounts (CUDs) provide up to 70% savings for predictable, baseline game server capacity. Spot VMs are perfect for non-critical or batch analytics workloads. Enrolling the existing ops team in Google Cloud Skills Boost addresses the CTO's concern about limited experience while staying within budget.

Common mistakes

Suggesting Preemptible/Spot VMs for critical game servers, which would destroy the player experience.

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