- A
Use the Cloud Billing API to stream costs and store them in Firestore.
Why wrong: This is custom and complex; BigQuery export is the standard and simpler approach.
- B
Export billing data to a Cloud Storage bucket and use a custom script to parse labels.
Why wrong: Cloud Storage export does not include labels; you would need to use BigQuery export for label analysis.
- C
Set up BigQuery billing export in the billing account. The export includes labels, enabling cost analysis by team and environment.
BigQuery export includes labels, resource IDs, and more, allowing straightforward SQL queries.
- D
Configure budgets and alerts for each label combination.
Why wrong: Budgets are for alerting on spend, not for analyzing historical cost data.
Question 685 of 1,000
PCDE Practice Question: Bootstrapping a Google Cloud Organisation for DevOps
This PCDE practice question tests your understanding of bootstrapping a google cloud organisation for devops. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 needs to set up billing export to analyze costs by team and environment. They have organized projects with labels: team (e.g., 'platform', 'data') and environment (e.g., 'prod', 'dev'). Which billing export configuration should they use?
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
✓
Set up BigQuery billing export in the billing account. The export includes labels, enabling cost analysis by team and environment.
Option C is correct because BigQuery billing export automatically includes resource labels in the exported tables, allowing direct SQL-based cost analysis by team and environment without custom scripting. This is the native, scalable, and recommended approach for multi-dimensional cost breakdowns in Google Cloud.
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 the Cloud Billing API to stream costs and store them in Firestore.
Why it's wrong here
This is custom and complex; BigQuery export is the standard and simpler approach.
- ✗
Export billing data to a Cloud Storage bucket and use a custom script to parse labels.
Why it's wrong here
Cloud Storage export does not include labels; you would need to use BigQuery export for label analysis.
- ✓
Set up BigQuery billing export in the billing account. The export includes labels, enabling cost analysis by team and environment.
Why this is correct
BigQuery export includes labels, resource IDs, and more, allowing straightforward SQL queries.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure budgets and alerts for each label combination.
Why it's wrong here
Budgets are for alerting on spend, not for analyzing historical cost data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse budgets/alerts (Option D) with cost analysis exports, or assume that Cloud Storage export (Option B) is simpler than BigQuery, missing that BigQuery's native label support eliminates the need for custom parsing.
Detailed technical explanation
How to think about this question
BigQuery billing export creates a standardized schema with a `labels` field (an array of key-value structs) that can be unnested with `UNNEST()` for per-label cost aggregation. This export supports real-time (within ~5-10 minutes) and daily tables, enabling both near-real-time and historical analysis. A common pitfall is forgetting that label-based cost breakdowns require the billing export to be set up at the billing account level, not the project level, and that labels must be applied to resources before the export runs to appear in the data.
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.
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Bootstrapping a Google Cloud Organisation for DevOps — study guide chapter
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FAQ
Questions learners often ask
What does this PCDE question test?
Bootstrapping a Google Cloud Organisation for DevOps — This question tests Bootstrapping a Google Cloud Organisation for DevOps — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set up BigQuery billing export in the billing account. The export includes labels, enabling cost analysis by team and environment. — Option C is correct because BigQuery billing export automatically includes resource labels in the exported tables, allowing direct SQL-based cost analysis by team and environment without custom scripting. This is the native, scalable, and recommended approach for multi-dimensional cost breakdowns in Google Cloud.
What should I do if I get this PCDE 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: Jul 4, 2026
This PCDE 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 PCDE exam.
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