- A
Enable VPC Flow Logs in all projects
Why wrong: Enabling VPC Flow Logs in all projects generates flow logs but is not a required step for centralizing existing logs into BigQuery. It is an unrelated operation.
- B
Use an aggregated sink at the organization or folder level to collect logs from all projects
An aggregated sink at the organization or folder level collects logs from all projects in the hierarchy, providing a centralized way to export logs to BigQuery without configuring per-project sinks.
- C
Grant the 'bigquery.dataEditor' role to the Cloud Logging service account
The Cloud Logging service account must be granted the 'bigquery.dataEditor' role on the target BigQuery dataset; otherwise, the log sink cannot write data.
- D
Create a log exclusion filter to remove sensitive data
Creating a log exclusion filter is essential when auditing to prevent exporting sensitive data (e.g., PII) to BigQuery, ensuring compliance with data privacy regulations.
- E
Create a log sink in each project that exports to a shared BigQuery dataset
Why wrong: Creating per-project sinks is an alternative to an aggregated sink. If an aggregated sink is used (as in option B), per-project sinks are not required and would be redundant.
Google PCA Aggregated Sink Practice Question
This PCA practice question tests your understanding of managing and provisioning a solution infrastructure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: aggregated Sink. 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.
You need to collect and analyze logs from multiple projects in a centralized BigQuery dataset for auditing. Which THREE steps are required? (Choose 3)
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
Use an aggregated sink at the organization or folder level to collect logs from all projects
To centralize logs from multiple projects into a single BigQuery dataset for auditing, the required steps are: (1) Use an aggregated sink at the organization or folder level to collect logs from all projects (option B) – this allows a single sink to route logs from all child projects. (2) Grant the Cloud Logging service account the 'bigquery.dataEditor' role on the dataset (option C) to permit writing logs. (3) Create a log exclusion filter to remove sensitive data (option D) – this is necessary for compliance when auditing logs to prevent exporting personally identifiable or confidential information. Per-project sinks (option E) are an alternative to an aggregated sink, not an additional requirement. VPC Flow Logs (option A) are a separate log source and not specifically required for centralizing logs to BigQuery.
Key principle: Aggregated Sink
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 VPC Flow Logs in all projects
Why it's wrong here
Enabling VPC Flow Logs in all projects generates flow logs but is not a required step for centralizing existing logs into BigQuery. It is an unrelated operation.
- ✓
Use an aggregated sink at the organization or folder level to collect logs from all projects
Why this is correct
An aggregated sink at the organization or folder level collects logs from all projects in the hierarchy, providing a centralized way to export logs to BigQuery without configuring per-project sinks.
Related concept
Aggregated Sink
- ✓
Grant the 'bigquery.dataEditor' role to the Cloud Logging service account
Why this is correct
The Cloud Logging service account must be granted the 'bigquery.dataEditor' role on the target BigQuery dataset; otherwise, the log sink cannot write data.
Related concept
Aggregated Sink
- ✓
Create a log exclusion filter to remove sensitive data
Why this is correct
Creating a log exclusion filter is essential when auditing to prevent exporting sensitive data (e.g., PII) to BigQuery, ensuring compliance with data privacy regulations.
Related concept
Aggregated Sink
- ✗
Create a log sink in each project that exports to a shared BigQuery dataset
Why it's wrong here
Creating per-project sinks is an alternative to an aggregated sink. If an aggregated sink is used (as in option B), per-project sinks are not required and would be redundant.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often think both aggregated sink and per-project sinks are needed simultaneously, but they are alternative methods. Additionally, they may overlook the need to filter sensitive data when exporting logs for auditing purposes.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Aggregated Sink
- Log Exclusion Filter
- Cloud Logging Service Account
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
Aggregated Sink
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Review aggregated Sink, then practise related PCA questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this PCA question test?
Managing and Provisioning a Solution Infrastructure — This question tests Managing and Provisioning a Solution Infrastructure — Aggregated Sink.
What is the correct answer to this question?
The correct answer is: Use an aggregated sink at the organization or folder level to collect logs from all projects — To centralize logs from multiple projects into a single BigQuery dataset for auditing, the required steps are: (1) Use an aggregated sink at the organization or folder level to collect logs from all projects (option B) – this allows a single sink to route logs from all child projects. (2) Grant the Cloud Logging service account the 'bigquery.dataEditor' role on the dataset (option C) to permit writing logs. (3) Create a log exclusion filter to remove sensitive data (option D) – this is necessary for compliance when auditing logs to prevent exporting personally identifiable or confidential information. Per-project sinks (option E) are an alternative to an aggregated sink, not an additional requirement. VPC Flow Logs (option A) are a separate log source and not specifically required for centralizing logs to BigQuery.
What should I do if I get this PCA question wrong?
Review aggregated Sink, then practise related PCA questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Aggregated Sink
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Last reviewed: Jul 4, 2026
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