GCP · PCA

Cost Optimization — GCP Professional Cloud Architect (PCA)

6%of exam questions (12 of 200)

Commitment Window and Interruption Tolerance Are the Cost Levers

Scan the scenario for two signals: how predictable is the usage, and can the workload tolerate interruption. 'Steady baseline, 1–3 year horizon' resolves to Committed Use Discounts. 'Batch, fault-tolerant, flexible schedule' resolves to Spot VMs. 'Variable but sustained compute, no long-term commitment' resolves to Sustained Use Discounts — automatic, no action required. For storage, retrieval frequency and latency tolerance map to Nearline, Coldline, or Archive respectively. Applying Spot VMs to latency-sensitive production workloads is the most common cost-pattern error on the exam.

What This Pattern Tests

Cost optimization questions test whether you match pricing models to workload characteristics. The biggest discount is not always correct — qualification criteria (fault tolerance for spot, utilization for reservations, license ownership for hybrid benefits) determine which savings mechanism actually applies.

Decision Axis

Workload qualification criteria determine which pricing model saves money, not the headline discount rate.

Associated Traps

More Top Traps on This Exam

Decision Rules

Whether a scale-to-zero serverless tier (Cloud Run) achieves lower total monthly cost than a discount-committed fixed VM tier (CUD on Compute Engine) when average utilization is low due to a bursty, time-bounded traffic pattern.

Cloud Run (scale-to-zero)Committed Use Discounts (CUD)Spot VMs

Apply a 1-year resource-based CUD to the stable production tier and Spot VMs to the interruptible batch tier, rather than consolidating both tiers under GKE Autopilot, which absorbs the per-tier pricing lever without delivering equivalent savings.

Committed Use Discounts (CUD)Spot VMsRecommender

When a stateless HTTP workload carries >50% idle time, scale-to-zero serverless eliminates idle compute cost entirely and outperforms any percentage-based discount applied to always-on instances; CUD and SUD are only optimal when utilisation is continuous enough that committed or sustained cost beats zero-cost idle.

Cloud Run (scale-to-zero)Committed Use Discounts (CUD)Sustained Use Discounts (SUD)

Domain Coverage

Analyzing and Optimizing Technical and Business Processes

Difficulty Breakdown

Hard: 12