- A
Use Cloud DLP to identify the user's data across services, delete the data using API calls, and verify deletion with Cloud Audit Logs
Cloud DLP discovers data locations, deletion APIs remove data, and audit logs confirm deletion, meeting GDPR requirements.
- B
Set up BigQuery time-based table expiration and Cloud Storage lifecycle policies with a 1-day deletion rule
Why wrong: Delayed deletion conflicts with immediate GDPR deletion requirements.
- C
Use Cloud Identity-Aware Proxy to block the user's access and mark the data as deleted
Why wrong: Blocking access does not delete data; the data remains stored.
- D
Enable Access Transparency logs and request Google to delete the data on their behalf
Why wrong: Google will not delete customer data on request; data deletion is the customer's responsibility.
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 respond to a GDPR data subject deletion request for a user's data stored across BigQuery and Cloud Storage. The data must be completely erased upon request. What is the most effective approach to ensure compliance?
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 Cloud DLP to identify the user's data across services, delete the data using API calls, and verify deletion with Cloud Audit Logs
Option A is correct because Cloud DLP can be used to inspect and classify the user's data across BigQuery and Cloud Storage, then you can programmatically delete the identified data via API calls. Cloud Audit Logs provide a verifiable record that the deletion was performed, which is essential for demonstrating compliance with GDPR's right to erasure.
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 Cloud DLP to identify the user's data across services, delete the data using API calls, and verify deletion with Cloud Audit Logs
Why this is correct
Cloud DLP discovers data locations, deletion APIs remove data, and audit logs confirm deletion, meeting GDPR requirements.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set up BigQuery time-based table expiration and Cloud Storage lifecycle policies with a 1-day deletion rule
Why it's wrong here
Delayed deletion conflicts with immediate GDPR deletion requirements.
- ✗
Use Cloud Identity-Aware Proxy to block the user's access and mark the data as deleted
Why it's wrong here
Blocking access does not delete data; the data remains stored.
- ✗
Enable Access Transparency logs and request Google to delete the data on their behalf
Why it's wrong here
Google will not delete customer data on request; data deletion is the customer's responsibility.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that access control mechanisms (like IAP) or automated lifecycle policies can substitute for actual data deletion, but GDPR requires complete erasure of the specific data subject's information, not just blocking access or delayed removal.
Detailed technical explanation
How to think about this question
Cloud DLP uses infoTypes and inspection jobs to scan for patterns like email addresses or custom regex, and its deidentification API can be used to delete or redact matched content. For BigQuery, you can use DLP's `content.deidentify` with `PrimitiveTransformation` set to `ReplaceWithEmptyString`, while for Cloud Storage you must iterate over objects and use the storage API to delete blobs after DLP identifies them. Cloud Audit Logs capture `google.cloud.dlp.v2.DlpService.DeleteDeidentifyTemplate` or direct storage delete calls, providing an immutable record for compliance audits.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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: Use Cloud DLP to identify the user's data across services, delete the data using API calls, and verify deletion with Cloud Audit Logs — Option A is correct because Cloud DLP can be used to inspect and classify the user's data across BigQuery and Cloud Storage, then you can programmatically delete the identified data via API calls. Cloud Audit Logs provide a verifiable record that the deletion was performed, which is essential for demonstrating compliance with GDPR's right to erasure.
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.
About these practice questions
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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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