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Difficulty: Very hardEstimating GCP Costs with the Pricing Calculator

A cloud engineer is utilizing the Google Cloud Pricing Calculator to model monthly cost projections for a complex multi-component architecture migration. The proposed workload includes:

1. Baseline 24/7 web server instances running continuously for a planned 3-year period.
2. Primary stateful PostgreSQL database instances requiring high availability and persistent storage.
3. Stateless batch processing tasks that can be safely interrupted and rescheduled.
4. Compliance log archives stored long-term with rare but mandatory immediate-access emergency retrieval requirements.

Which of the following configuration practices in the pricing calculator will yield an accurate, cost-optimized estimate while avoiding invalid pricing assumptions or operational misconfigurations? (Select TWO choices.)

  1. Apply 3-year Committed Use Discounts (CUDs) to the baseline vCPU and memory resource requirements for the continuous 24/7 web server instances, while selecting Spot VMs for the interruptible batch processing workload.Answer
  2. B
    Configure Spot VM instances for the primary stateful PostgreSQL database compute nodes to minimize baseline database hosting costs.
  3. C
    Stack Committed Use Discounts (CUDs) on top of the Spot VM pricing calculator entries for the batch processing jobs to achieve cumulative discount rates.
  4. Factor in data retrieval fees and minimum retention duration penalties into the calculator estimate when transitioning historical compliance logs to colder storage classes.Answer

Answer

The correct recommendations are to apply 3-year Committed Use Discounts (CUDs) to continuous 24/7 baseline compute workloads while using Spot VMs for stateless batch tasks, and to include data retrieval fees and retention penalties when modeling colder Cloud Storage class transitions.
Applying 3-year Committed Use Discounts to predictable 24/7 web server workloads while selecting Spot VMs for stateless batch tasks correctly matches workload availability profiles to optimal GCP pricing mechanisms. Furthermore, accounting for retrieval fees and minimum storage durations ensures accurate TCO modeling for archival logs moved to colder Cloud Storage tiers.

Step-by-Step Solution

1
Analyze Compute Engine workload requirements for discount model eligibility.
24/7 continuous workloads qualify for 1-year or 3-year Committed Use Discounts (CUDs). Interruptible batch jobs qualify for Spot VMs.
CUDs require steady state baseline usage. Spot VMs offer up to 60-90% savings for fault-tolerant jobs.
2
Evaluate Spot VM restrictions regarding stateful services and discount stacking.
Spot VMs cannot host stateful databases and cannot be combined with CUDs.
Spot instances can be preempted at any time and already receive maximum variable discounting.
3
Calculate Cloud Storage lifecycle transition costs for archival logs.
Coldline/Archive storage pricing must include retrieval cost estimations and early deletion/transition minimum term commitments.
Lower storage tier pricing is offset by operational charges during emergency retrieval access.

Key Concept

Accurate GCP Cost Modeling with CUDs, Spot VMs, and Storage Class Penalties
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Topics

Estimating GCP Costs with the Pricing Calculator

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