- A
Create an aggregated sink at the organization level that includes all projects and uses a BigQuery dataset as destination, with inclusion filters for all audit log types.
Aggregated sinks can export logs from all projects under the organization to a single BigQuery dataset.
- B
Create a single aggregated sink at the organization level that uses a Pub/Sub topic as destination, and have a subscriber stream logs into BigQuery.
Why wrong: Pub/Sub is possible but adds latency; direct BigQuery sink is simpler.
- C
Create a sink in each project that exports Audit Logs to a shared BigQuery dataset.
Why wrong: Administratively heavy and doesn't scale well.
- D
Enable logging export using Cloud Logging's beta feature to stream logs to an external SIEM via syslog.
Why wrong: Not a Google Cloud native centralization.
PCSE Practice Question: Managing operations in a cloud solution environment
This PCSE practice question tests your understanding of managing operations in a cloud solution environment. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 large enterprise has a security command center that uses SIEM to analyze logs. They are migrating to Google Cloud and want to export all Cloud Audit Logs (Admin Activity, Data Access, and System Events) from all projects into a centralized BigQuery dataset for analysis. They also need to ensure logs are available within 5 minutes of being generated. Which sink 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
Create an aggregated sink at the organization level that includes all projects and uses a BigQuery dataset as destination, with inclusion filters for all audit log types.
Option D is correct because aggregating sinks across all projects into a single BigQuery dataset via inclusion filters is the standard method. Option A is incorrect because sink at project level requires individual setup per project. Option B is incorrect because Logs Router cannot route to SIEM directly. Option C is incorrect because inclusion filters without aggregation would not capture all projects efficiently.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create an aggregated sink at the organization level that includes all projects and uses a BigQuery dataset as destination, with inclusion filters for all audit log types.
Why this is correct
Aggregated sinks can export logs from all projects under the organization to a single BigQuery dataset.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Create a single aggregated sink at the organization level that uses a Pub/Sub topic as destination, and have a subscriber stream logs into BigQuery.
Why it's wrong here
Pub/Sub is possible but adds latency; direct BigQuery sink is simpler.
- ✗
Create a sink in each project that exports Audit Logs to a shared BigQuery dataset.
Why it's wrong here
Administratively heavy and doesn't scale well.
- ✗
Enable logging export using Cloud Logging's beta feature to stream logs to an external SIEM via syslog.
Why it's wrong here
Not a Google Cloud native centralization.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PCSE NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this PCSE question test?
Managing operations in a cloud solution environment — This question tests Managing operations in a cloud solution environment — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Create an aggregated sink at the organization level that includes all projects and uses a BigQuery dataset as destination, with inclusion filters for all audit log types. — Option D is correct because aggregating sinks across all projects into a single BigQuery dataset via inclusion filters is the standard method. Option A is incorrect because sink at project level requires individual setup per project. Option B is incorrect because Logs Router cannot route to SIEM directly. Option C is incorrect because inclusion filters without aggregation would not capture all projects efficiently.
What should I do if I get this PCSE question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PCSE NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 24, 2026
This PCSE 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 PCSE exam.
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