- A
Data Catalog and BigQuery Data Policy
Data Catalog creates taxonomies and policy tags; BigQuery Data Policy uses those tags to apply data masking rules.
- B
Cloud IAM and VPC Service Controls
Why wrong: IAM is used for access control but not for column masking. VPC Service Controls are for perimeter security.
- C
Secret Manager and Cloud Functions
Why wrong: Secret Manager stores secrets; Cloud Functions can trigger on rotation but not for BigQuery column masking.
- D
Cloud DLP and Cloud KMS
Why wrong: DLP is for inspection and de-identification, not for column masking in BigQuery. KMS is for encryption keys.
Question 903 of 985
PCSE Ensuring Data Protection Practice Question
This PCSE practice question tests your understanding of ensuring data protection. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 security engineer needs to ensure that sensitive columns in BigQuery are automatically masked for certain users. For example, the email column should show only the domain for users with a specific role. Which two services must be configured together?
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
✓
Data Catalog and BigQuery Data Policy
BigQuery column-level security uses policy tags attached to columns, which are defined in Data Catalog taxonomies. To apply masking, you need to use BigQuery Data Policy (also known as data masking) which uses policy tags to define masking rules. Data Catalog provides the taxonomy for policy tags, while BigQuery Data Policy applies the actual masking. IAM roles for masking are granted via the policy tags.
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.
- ✓
Data Catalog and BigQuery Data Policy
Why this is correct
Data Catalog creates taxonomies and policy tags; BigQuery Data Policy uses those tags to apply data masking rules.
Related concept
CIDR notation defines the prefix length.
- ✗
Cloud IAM and VPC Service Controls
Why it's wrong here
IAM is used for access control but not for column masking. VPC Service Controls are for perimeter security.
- ✗
Secret Manager and Cloud Functions
Why it's wrong here
Secret Manager stores secrets; Cloud Functions can trigger on rotation but not for BigQuery column masking.
- ✗
Cloud DLP and Cloud KMS
Why it's wrong here
DLP is for inspection and de-identification, not for column masking in BigQuery. KMS is for encryption keys.
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 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.
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
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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: Data Catalog and BigQuery Data Policy — BigQuery column-level security uses policy tags attached to columns, which are defined in Data Catalog taxonomies. To apply masking, you need to use BigQuery Data Policy (also known as data masking) which uses policy tags to define masking rules. Data Catalog provides the taxonomy for policy tags, while BigQuery Data Policy applies the actual masking. IAM roles for masking are granted via the policy tags.
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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