- A
BigQuery column-level security
BigQuery column-level security with data masking can restrict PII based on roles.
- B
Cloud Key Management Service
Why wrong: KMS is for encryption keys, not data masking.
- C
Cloud Data Catalog
Why wrong: Data Catalog is for metadata management.
- D
Cloud Data Loss Prevention (DLP)
Why wrong: DLP can classify but for runtime masking, BigQuery's own feature is needed.
Question 812 of 1,000
Google PCA Design for security and compliance Practice Question
This PCA practice question tests your understanding of design for security and compliance. 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 data engineer needs to analyze data in BigQuery but must mask personally identifiable information (PII) based on user roles. Which service 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
BigQuery column-level security allows you to apply fine-grained access controls to specific columns containing PII, such as by using policy tags to restrict access based on user roles. This directly meets the requirement to mask sensitive data in BigQuery without moving or duplicating data, as it integrates with Cloud IAM to enforce role-based access at query 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.
- ✓
BigQuery column-level security
Why this is correct
BigQuery column-level security with data masking can restrict PII based on roles.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Key Management Service
Why it's wrong here
KMS is for encryption keys, not data masking.
- ✗
Cloud Data Catalog
Why it's wrong here
Data Catalog is for metadata management.
- ✗
Cloud Data Loss Prevention (DLP)
Why it's wrong here
DLP can classify but for runtime masking, BigQuery's own feature is needed.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common trap in Google PCA exams is confusing Cloud DLP (which is for classification and de-identification before data storage) with BigQuery column-level security (which provides runtime access control based on roles). DLP does not enforce role-based masking at query time; column-level security with policy tags does.
Detailed technical explanation
How to think about this question
BigQuery column-level security uses taxonomy-based policy tags that are attached to columns; when a user queries a table, BigQuery evaluates the policy tags against the user's IAM roles (e.g., `roles/bigquery.dataViewer` with a tag binding) to either show the raw data, a masked value (e.g., `SHA256` hash), or deny access. This is implemented via the `policyTags` field in the table schema, and masking can be configured using BigQuery's `Data Masking` feature, which supports functions like `CAST` or `REGEXP_REPLACE` for dynamic obfuscation at query runtime.
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.
Quick reference
Access Control Model Comparison
| Model | Acronym | Who Controls Access? | Best For |
|---|---|---|---|
| Discretionary Access Control | DAC | Resource owner | Small teams, file shares |
| Mandatory Access Control | MAC | System / security labels | Classified govt / military |
| Role-Based Access Control | RBAC | Administrator (via roles) | Enterprise environments |
| Attribute-Based Access Control | ABAC | Policy engine (user + resource attributes) | Fine-grained, dynamic policies |
| Rule-Based Access Control | RuBAC | System rules / ACLs | Firewall rules, network ACLs |
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.
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Design for security and compliance — study guide chapter
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FAQ
Questions learners often ask
What does this PCA question test?
Design for security and compliance — This question tests Design for security and compliance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: BigQuery column-level security — BigQuery column-level security allows you to apply fine-grained access controls to specific columns containing PII, such as by using policy tags to restrict access based on user roles. This directly meets the requirement to mask sensitive data in BigQuery without moving or duplicating data, as it integrates with Cloud IAM to enforce role-based access at query time.
What should I do if I get this PCA 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 →
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Last reviewed: Jul 4, 2026
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