This PCDOE practice question tests your understanding of bootstrapping a google cloud organization 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 a centralized logging solution for multiple projects. They want to store logs in a BigQuery dataset for analysis. What is the best approach?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Use Cloud Logging's export feature to Pub/Sub and then to BigQuery.
Why wrong: Adds unnecessary complexity.
Use the BigQuery Data Transfer Service for logs.
Why wrong: Not designed for real-time log export.
Create a sink in each project to export logs to the BigQuery dataset.
Why wrong: Manual and repetitive.
Create an aggregated sink at the organization or folder level to export logs to BigQuery.
Centralized and efficient.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Create an aggregated sink at the organization or folder level to export logs to BigQuery.
Option D is correct because an aggregated sink at the organization or folder level allows you to collect logs from all projects within that hierarchy into a single BigQuery dataset in a centralized project. This approach eliminates the need to configure individual sinks per project, reduces administrative overhead, and ensures consistent log routing across the entire organization.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use Cloud Logging's export feature to Pub/Sub and then to BigQuery.
Why it's wrong here
Adds unnecessary complexity.
Use the BigQuery Data Transfer Service for logs.
Why it's wrong here
Not designed for real-time log export.
Create a sink in each project to export logs to the BigQuery dataset.
Why it's wrong here
Manual and repetitive.
Create an aggregated sink at the organization or folder level to export logs to BigQuery.
Why this is correct
Centralized and efficient.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often choose Option C (per-project sinks) because they think each project must independently export its logs, failing to recognize that aggregated sinks at the organization or folder level provide a centralized, scalable solution that reduces management overhead.
Detailed technical explanation
An aggregated sink uses a Log Router sink with a `_AllLogs` or custom filter at the organization or folder level, routing logs to a BigQuery dataset in a designated project. Under the hood, the sink writes log entries as streaming inserts into BigQuery tables, which are automatically partitioned by ingestion time (`_PARTITIONTIME`) for efficient querying and cost control. In a real-world scenario, this setup is critical for compliance audits where logs from hundreds of projects must be retained in a single, queryable repository without manual per-project configuration.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Bootstrapping a Google Cloud organization for DevOps — study guide chapter
Learn the concepts, then practise the questions
Bootstrapping a Google Cloud organization for DevOps practice questions
Targeted practice on this topic area only
All PCDOE questions
500 questions across all exam domains
Google Professional Cloud DevOps Engineer study guide
Full concept coverage aligned to exam objectives
PCDOE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise PCDOE questions linked to Bootstrapping a Google Cloud organization for DevOps.
Practise PCDOE questions linked to Managing service incidents.
Practise PCDOE questions linked to Managing Google Cloud costs.
Practise PCDOE questions linked to Building and implementing CI/CD pipelines.
Practise PCDOE questions linked to Implementing service monitoring strategies.
Practise PCDOE questions linked to Optimizing service performance.
Practise PCDOE questions linked to PCDOE fundamentals.
Practise PCDOE questions linked to PCDOE scenario.
Practise PCDOE questions linked to PCDOE troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Bootstrapping a Google Cloud organization for DevOps — This question tests Bootstrapping a Google Cloud organization for DevOps — Read the scenario before looking for a memorised answer..
The correct answer is: Create an aggregated sink at the organization or folder level to export logs to BigQuery. — Option D is correct because an aggregated sink at the organization or folder level allows you to collect logs from all projects within that hierarchy into a single BigQuery dataset in a centralized project. This approach eliminates the need to configure individual sinks per project, reduces administrative overhead, and ensures consistent log routing across the entire organization.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 →
Last reviewed: Jun 25, 2026
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.
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.
Sign in to join the discussion.