The answer is Cloud Data Loss Prevention (DLP). This service directly supports GDPR data minimization by automatically inspecting, classifying, and redacting sensitive data like PII or credit card numbers before it is stored, using built-in infoType detectors and de-identification transformations such as masking or tokenization. On the Google Professional Cloud Security Engineer exam, this question tests your understanding of how to enforce data minimization at ingestion time, often appearing as a scenario where you must choose between Cloud DLP, Cloud KMS, or Access Transparency—a common trap is selecting Cloud KMS for encryption, which does not reduce the data collected. Remember that DLP is about reducing what is stored, not just protecting it. Memory tip: DLP stands for “Data Lessening Principle” in the context of GDPR—if you need to shrink data before storage, think DLP.
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 is moving sensitive data to Google Cloud and must comply with GDPR data minimization principles. They want to ensure that only the minimum necessary data is collected and processed. Which Google Cloud service should they use to automatically identify and redact sensitive data before storage?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud Data Loss Prevention (DLP)
Cloud Data Loss Prevention (DLP) is the correct service because it provides native capabilities to inspect, classify, and automatically redact sensitive data (e.g., PII, credit card numbers) before storage, directly supporting GDPR data minimization. It uses built-in infoType detectors and can be integrated with Cloud Storage, BigQuery, and other services to apply de-identification transformations such as masking, tokenization, or deletion at ingestion time.
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.
✗
Cloud Composer
Why it's wrong here
Composer (Airflow) orchestrates workflows but does not natively identify sensitive data.
✗
Cloud Data Fusion
Why it's wrong here
Data Fusion is for building ETL pipelines, but not designed for automated sensitive data detection.
✗
Cloud Dataprep
Why it's wrong here
Dataprep is for data cleaning and preparation, but lacks built-in sensitive data classification.
✓
Cloud Data Loss Prevention (DLP)
Why this is correct
DLP inspects and de-identifies sensitive data to minimize data collection.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
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 distinction between data transformation/ETL tools (Cloud Data Fusion, Cloud Dataprep) and a dedicated data loss prevention service (Cloud DLP), expecting candidates to recognize that only DLP provides automated sensitive data identification and redaction out of the box without requiring custom coding or external integrations.
Detailed technical explanation
How to think about this question
Cloud DLP uses over 150 built-in infoType detectors (e.g., EMAIL_ADDRESS, CREDIT_CARD_NUMBER) and supports custom dictionary and regex detectors. It can apply de-identification transformations like masking, bucketing, date shifting, and tokenization (using deterministic or cryptographic pseudonymization) directly to data in Cloud Storage, BigQuery, or Datastore, and can also inspect streaming data via the DLP API. A subtle behavior is that DLP's redaction can be configured to replace sensitive values with a placeholder (e.g., '[REDACTED]') or to delete the entire field, which is critical for GDPR compliance where data minimization requires that only necessary data be stored.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: Cloud Data Loss Prevention (DLP) — Cloud Data Loss Prevention (DLP) is the correct service because it provides native capabilities to inspect, classify, and automatically redact sensitive data (e.g., PII, credit card numbers) before storage, directly supporting GDPR data minimization. It uses built-in infoType detectors and can be integrated with Cloud Storage, BigQuery, and other services to apply de-identification transformations such as masking, tokenization, or deletion at ingestion time.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
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 →
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.
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.
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.