PCSE Ensuring Data Protection Practice Question
A data engineer wants to classify columns in BigQuery containing sensitive data like email addresses and apply data masking so that users see only masked values (e.g., 'j***@example.com'). Which feature 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
✓
BigQuery column-level security with policy tags and data masking rules
BigQuery column-level security with policy tags allows classification, and BigQuery Data Policy with data masking rules (like email masking) applies dynamic masking at query time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
BigQuery column-level security with policy tags and data masking rules
Why this is correct
Policy tags classify data, and data masking rules (e.g., EmailMask) apply masking automatically.
- ✗
Cloud DLP inspection jobs
Why it's wrong here
DLP inspects data but does not apply dynamic masking in BigQuery queries.
- ✗
Cloud IAM roles for BigQuery
Why it's wrong here
IAM roles control access to tables, not column-level masking.
- ✗
View with SQL masking
Why it's wrong here
Custom views could mask data, but policy tags and data masking are the native managed solution.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.