- A
Use a policy tag with a data masking rule that masks the full number except last four digits, and grant UNMASKED access to data_owner and MASKED access to data_scientist.
This is the correct method for column-level masking.
- B
Set an IAM condition on the table that filters the column based on the user's role.
Why wrong: IAM conditions cannot filter columns.
- C
Use row-level security to restrict rows based on role.
Why wrong: Row-level security controls rows, not columns.
- D
Create two separate BigQuery tables (one with masked data, one with full data) and grant access based on role.
Why wrong: While possible, it is not the recommended approach; policy tags are more manageable and scalable.
Question 355 of 985
PCSE Ensuring Data Protection Practice Question
This PCSE practice question tests your understanding of ensuring data protection. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 financial services company uses BigQuery for analytics and needs to implement column-level security such that users with the role 'data_scientist' can see the last four digits of credit card numbers, while the full number is visible only to 'data_owner'. What approach 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
✓
Use a policy tag with a data masking rule that masks the full number except last four digits, and grant UNMASKED access to data_owner and MASKED access to data_scientist.
Option A is correct because BigQuery's policy tags with data masking rules allow you to define column-level masking policies. By creating a masking rule that reveals only the last four digits of the credit card number, you can grant the `data_scientist` role MASKED access (which applies the mask) and the `data_owner` role UNMASKED access (which bypasses the mask). This approach enforces column-level security without duplicating data or using row-level filters.
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 a policy tag with a data masking rule that masks the full number except last four digits, and grant UNMASKED access to data_owner and MASKED access to data_scientist.
Why this is correct
This is the correct method for column-level masking.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set an IAM condition on the table that filters the column based on the user's role.
Why it's wrong here
IAM conditions cannot filter columns.
- ✗
Use row-level security to restrict rows based on role.
Why it's wrong here
Row-level security controls rows, not columns.
- ✗
Create two separate BigQuery tables (one with masked data, one with full data) and grant access based on role.
Why it's wrong here
While possible, it is not the recommended approach; policy tags are more manageable and scalable.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between column-level security (policy tags with masking) and row-level security (row filters), and the trap here is confusing row-level security (which filters rows) with column-level masking (which obfuscates column values).
Detailed technical explanation
How to think about this question
Under the hood, BigQuery policy tags use the Data Catalog taxonomy to attach a masking rule (e.g., `DEFAULT_MASK_LAST_FOUR`) to a column. When a user with MASKED access queries the column, BigQuery applies the masking function at query execution time, transforming the data before returning results. A subtle behavior is that masking rules are applied even if the user is querying through a view or a materialized view, ensuring consistent protection across all access paths.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Ensuring Data Protection — study guide chapter
Learn the concepts, then practise the questions
- →
Ensuring Data Protection practice questions
Targeted practice on this topic area only
- →
All PCSE questions
985 questions across all exam domains
- →
Google Professional Cloud Security Engineer study guide
Full concept coverage aligned to exam objectives
- →
PCSE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCSE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Configuring Access Within a Cloud Solution Environment practice questions
Practise PCSE questions linked to Configuring Access Within a Cloud Solution Environment.
Ensuring Data Protection practice questions
Practise PCSE questions linked to Ensuring Data Protection.
Managing Operations in a Cloud Solution Environment practice questions
Practise PCSE questions linked to Managing Operations in a Cloud Solution Environment.
Configuring Network Security practice questions
Practise PCSE questions linked to Configuring Network Security.
Supporting Compliance Requirements practice questions
Practise PCSE questions linked to Supporting Compliance Requirements.
PCSE fundamentals practice questions
Practise PCSE questions linked to PCSE fundamentals.
PCSE scenario practice questions
Practise PCSE questions linked to PCSE scenario.
PCSE troubleshooting practice questions
Practise PCSE questions linked to PCSE troubleshooting.
Practice this exam
Start a free PCSE practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCSE question test?
Ensuring Data Protection — This question tests Ensuring Data Protection — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a policy tag with a data masking rule that masks the full number except last four digits, and grant UNMASKED access to data_owner and MASKED access to data_scientist. — Option A is correct because BigQuery's policy tags with data masking rules allow you to define column-level masking policies. By creating a masking rule that reveals only the last four digits of the credit card number, you can grant the `data_scientist` role MASKED access (which applies the mask) and the `data_owner` role UNMASKED access (which bypasses the mask). This approach enforces column-level security without duplicating data or using row-level filters.
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
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 →
Last reviewed: Jul 4, 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.
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.