Question 464 of 509

Google PCA Practice Question: Analyze and optimize technical and business processes

This PCA practice question tests your understanding of analyze and optimize technical and business processes. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Which TWO strategies should a company implement to optimize costs for a production GKE cluster? (Choose two.)

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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Enable GKE usage metering.

Option C is correct because GKE usage metering provides detailed cost allocation by breaking down cluster resource consumption (CPU, memory, storage) per Kubernetes namespace or label. This enables teams to track and optimize spending across different projects or departments, directly supporting cost optimization for a production cluster.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use Istio for traffic management.

    Why it's wrong here

    Istio adds resource overhead and cost without direct cost savings.

  • Use a regional cluster.

    Why it's wrong here

    Regional clusters replicate control plane and nodes across zones, increasing cost.

  • Enable GKE usage metering.

    Why this is correct

    Usage metering helps allocate costs per namespace and identify waste.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use cluster autoscaler with preemptible node pools.

    Why this is correct

    Autoscaler removes idle nodes and preemptible pools are cheaper than standard VMs.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use node local DNS cache.

    Why it's wrong here

    Node local DNS cache improves resolution speed but does not reduce infrastructure costs.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the distinction between cost optimization and other operational goals like high availability or performance; candidates mistakenly choose regional clusters (high availability) or Istio (traffic management) as cost-saving measures when they are not.

Detailed technical explanation

How to think about this question

GKE usage metering exports detailed usage data to BigQuery, allowing granular cost analysis via custom reports. The cluster autoscaler with preemptible node pools (Option D) leverages spot instances that can be terminated at any time, offering up to 60-91% cost savings compared to regular VMs, but requires workload fault tolerance. Combining these two strategies addresses both visibility into spending and direct reduction of compute costs.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCA question test?

Analyze and optimize technical and business processes — This question tests Analyze and optimize technical and business processes — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Enable GKE usage metering. — Option C is correct because GKE usage metering provides detailed cost allocation by breaking down cluster resource consumption (CPU, memory, storage) per Kubernetes namespace or label. This enables teams to track and optimize spending across different projects or departments, directly supporting cost optimization for a production cluster.

What should I do if I get this PCA question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.