- A
Enable audit logs via Cloud Audit Logs to track access to personal data.
Audit logs are necessary for demonstrating compliance.
- B
Use Cloud KMS to encrypt individual columns containing personal data.
Why wrong: BigQuery does not support column-level encryption; Cloud DLP is used for de-identification.
- C
Store data in a multi-region location like 'EU' to ensure availability across regions.
Why wrong: GDPR does not require multi-region; data can be stored in a single region.
- D
Use Cloud DLP to classify and de-identify sensitive columns before loading into BigQuery.
Cloud DLP helps identify and protect personal data.
- E
Enable data deletion by using DML statements to remove personal data when requested.
GDPR's right to erasure requires the ability to delete personal data.
Quick Answer
The answer is enabling data deletion through DML statements to remove personal data upon request, alongside implementing Cloud Audit Logs and data retention policies. This is correct because GDPR’s right to erasure requires that personal data stored in BigQuery can be permanently deleted using DML commands like DELETE or MERGE, while Cloud Audit Logs provide an immutable record of all data access and administrative actions, ensuring accountability and traceability for processing activities. On the Google Professional Cloud Security Engineer exam, this scenario tests your understanding of combining data lifecycle controls with audit mechanisms—a common trap is focusing solely on encryption or access controls while overlooking the explicit deletion capability required by GDPR. Remember the mnemonic “DAD” for this triad: Deletion via DML, Audit logs, and Data retention policies.
PCSE Supporting compliance requirements Practice Question
This PCSE practice question tests your understanding of supporting compliance requirements. 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 company needs to comply with the General Data Protection Regulation (GDPR). They are using BigQuery to store personal data. Which THREE measures should they implement to meet GDPR requirements?
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 audit logs via Cloud Audit Logs to track access to personal data.
Option A is correct because Cloud Audit Logs provide a comprehensive, immutable record of all administrative and data access activities in BigQuery, which is essential for demonstrating GDPR compliance through accountability and traceability. By enabling audit logs, the company can track who accessed personal data, when, and from where, fulfilling the GDPR requirement to maintain records of processing activities.
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 audit logs via Cloud Audit Logs to track access to personal data.
Why this is correct
Audit logs are necessary for demonstrating compliance.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Cloud KMS to encrypt individual columns containing personal data.
Why it's wrong here
BigQuery does not support column-level encryption; Cloud DLP is used for de-identification.
- ✗
Store data in a multi-region location like 'EU' to ensure availability across regions.
Why it's wrong here
GDPR does not require multi-region; data can be stored in a single region.
- ✓
Use Cloud DLP to classify and de-identify sensitive columns before loading into BigQuery.
Why this is correct
Cloud DLP helps identify and protect personal data.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable data deletion by using DML statements to remove personal data when requested.
Why this is correct
GDPR's right to erasure requires the ability to delete personal data.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that encryption (like Cloud KMS) is a primary GDPR measure for BigQuery, when in reality BigQuery's default encryption already meets encryption requirements, and the focus should be on access control, auditability, and data lifecycle management.
Detailed technical explanation
How to think about this question
Cloud Audit Logs in BigQuery capture two types of logs: Admin Activity logs (for configuration changes) and Data Access logs (for reading or modifying data), with the latter needing to be explicitly enabled. Under the hood, these logs are stored in the Cloud Logging service and can be exported to a separate BigQuery dataset or Cloud Storage for long-term retention, enabling forensic analysis and satisfying GDPR Article 30's record-keeping obligations.
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 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.
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FAQ
Questions learners often ask
What does this PCSE question test?
Supporting compliance requirements — This question tests Supporting compliance requirements — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable audit logs via Cloud Audit Logs to track access to personal data. — Option A is correct because Cloud Audit Logs provide a comprehensive, immutable record of all administrative and data access activities in BigQuery, which is essential for demonstrating GDPR compliance through accountability and traceability. By enabling audit logs, the company can track who accessed personal data, when, and from where, fulfilling the GDPR requirement to maintain records of processing activities.
What should I do if I get this PCSE 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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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 →
Same concept, more angles
1 more ways this is tested on PCSE
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company needs to comply with GDPR and must implement data subject access request (DSAR) capabilities. Which TWO Google Cloud services should they use to locate and export personal data across various data stores?
hard- A.Cloud Key Management Service (KMS)
- B.Cloud Storage
- ✓ C.BigQuery
- ✓ D.Cloud Data Loss Prevention (DLP)
- E.VPC Service Controls
Why C: BigQuery is correct because it can be used to query and export personal data stored in BigQuery tables via SQL, enabling DSAR compliance by locating and extracting data subject information. Cloud Data Loss Prevention (DLP) is correct because it can inspect and classify personal data across various Google Cloud data stores (including Cloud Storage, BigQuery, and Datastore) and de-identify or export findings, directly supporting DSAR workflows.
Last reviewed: Jun 30, 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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