- A
Use BigQuery column-level security with policy tags and data masking rules.
This allows setting access controls and masking policies directly on columns, providing dynamic masking based on the user's role.
- B
Create separate views for different user groups, each with different column projections.
Why wrong: While views can restrict columns, they do not provide dynamic masking per user; maintaining multiple views is cumbersome and not scalable.
- C
Use Cloud Storage signed URLs to grant time-limited access to the data.
Why wrong: Signed URLs are for Cloud Storage objects, not BigQuery tables, and do not provide column-level masking.
- D
Use Cloud DLP to scan BigQuery tables and create de-identification jobs that permanently mask the data in the table.
Why wrong: This would modify the underlying data, which is not desired; users need access to original values while some see masked versions.
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 company uses BigQuery to store sensitive customer data. They want to restrict access to certain columns (e.g., email and SSN) so that only authorized users see the actual values, while other users see a masked version. Which 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 BigQuery column-level security with policy tags and data masking rules.
BigQuery column-level security using policy tags and data masking rules allows you to define fine-grained access controls and masking policies on specific columns. This is the recommended approach for column-level access and masking in BigQuery.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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 BigQuery column-level security with policy tags and data masking rules.
Why this is correct
This allows setting access controls and masking policies directly on columns, providing dynamic masking based on the user's role.
Related concept
CIDR notation defines the prefix length.
- ✗
Create separate views for different user groups, each with different column projections.
Why it's wrong here
While views can restrict columns, they do not provide dynamic masking per user; maintaining multiple views is cumbersome and not scalable.
- ✗
Use Cloud Storage signed URLs to grant time-limited access to the data.
Why it's wrong here
Signed URLs are for Cloud Storage objects, not BigQuery tables, and do not provide column-level masking.
- ✗
Use Cloud DLP to scan BigQuery tables and create de-identification jobs that permanently mask the data in the table.
Why it's wrong here
This would modify the underlying data, which is not desired; users need access to original values while some see masked versions.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related PCSE subnetting questions on CIDR, address ranges, and subnet selection.
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Ensuring Data Protection — study guide chapter
Learn the concepts, then practise the questions
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Ensuring Data Protection practice questions
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FAQ
Questions learners often ask
What does this PCSE question test?
Ensuring Data Protection — This question tests Ensuring Data Protection — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Use BigQuery column-level security with policy tags and data masking rules. — BigQuery column-level security using policy tags and data masking rules allows you to define fine-grained access controls and masking policies on specific columns. This is the recommended approach for column-level access and masking in BigQuery.
What should I do if I get this PCSE question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related PCSE subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
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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.
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