Question 198 of 500
Managing Google Cloud costseasyMultiple ChoiceObjective-mapped

PCDOE Managing Google Cloud costs Practice Question

This PCDOE practice question tests your understanding of managing google cloud costs. 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.

A DevOps engineer notices that the monthly compute cost is higher than expected for a Kubernetes Engine cluster. They want to identify which namespaces or workloads are contributing most to the cost. What should they do?

Question 1easymultiple choice
Full question →

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 and export to BigQuery.

Option D is correct because GKE Usage Metering exports detailed per-cluster resource consumption data (CPU, memory, storage, and network) to BigQuery, enabling cost attribution by namespace, label, or workload. This is the only option that directly provides granular cost breakdowns for Kubernetes resources, allowing the engineer to identify which namespaces or workloads drive compute costs.

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.

  • Enable Logging for all containers and analyze logs.

    Why it's wrong here

    Logs do not provide cost information.

  • Use Cloud Monitoring dashboards with Kubernetes metrics.

    Why it's wrong here

    Cloud Monitoring shows resource usage, not cost allocation.

  • Add labels to nodes and use Cost Table reports.

    Why it's wrong here

    Labels on nodes apply to the whole node, not per workload.

  • Enable GKE Usage Metering and export to BigQuery.

    Why this is correct

    GKE Usage Metering provides cost attribution by namespace and workload.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse monitoring metrics (CPU/memory usage) with cost data, or assume node labels and billing reports alone provide namespace-level granularity, missing that GKE Usage Metering is the specific tool designed for this exact use case.

Trap categories for this question

  • Command / output trap

    Cloud Monitoring shows resource usage, not cost allocation.

Detailed technical explanation

How to think about this question

GKE Usage Metering works by collecting resource usage data from the Kubernetes API server and writing it to a BigQuery dataset as tables like `gke_cluster_resource_usage` and `gke_cluster_cost_breakdown`. These tables include fields such as `namespace`, `workload`, `resource_type`, and `usage_quantity`, enabling SQL queries to sum costs per namespace. A real-world scenario is a multi-tenant cluster where one team's namespace uses GPU nodes; Usage Metering can isolate that cost, while node labels alone would not distinguish GPU vs. CPU usage within the same node pool.

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.

Related practice questions

Related PCDOE practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Practice this exam

Start a free PCDOE practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

FAQ

Questions learners often ask

What does this PCDOE question test?

Managing Google Cloud costs — This question tests Managing Google Cloud costs — 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 and export to BigQuery. — Option D is correct because GKE Usage Metering exports detailed per-cluster resource consumption data (CPU, memory, storage, and network) to BigQuery, enabling cost attribution by namespace, label, or workload. This is the only option that directly provides granular cost breakdowns for Kubernetes resources, allowing the engineer to identify which namespaces or workloads drive compute costs.

What should I do if I get this PCDOE 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.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Last reviewed: Jun 25, 2026

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

Sign in to join the discussion.

This PCDOE 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 PCDOE exam.