- A
Cloud Dataflow
Dataflow can read streaming data, apply DLP de-identification transforms, and write to BigQuery.
- B
Cloud Data Loss Prevention (DLP)
Cloud DLP provides de-identification techniques like tokenization and masking for pseudonymisation.
- C
Cloud Storage
Why wrong: Cloud Storage is a storage service, not for data transformation.
- D
Cloud SQL
Why wrong: Cloud SQL is a relational database, not a data processing pipeline for pseudonymisation.
- E
Cloud Functions
Why wrong: Cloud Functions could be used but are less suited for high-throughput streaming. Dataflow is the recommended service.
Question 425 of 1,000
PCSE Supporting Compliance Requirements Practice Question
This PCSE practice question tests your understanding of supporting compliance requirements. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 needs to implement data pseudonymisation to comply with GDPR. They are using BigQuery for analytics. Which TWO services can help them pseudonymise data in transit before it enters BigQuery?
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
✓
Cloud Dataflow
Cloud DLP can inspect and de-identify data, including pseudonymisation (e.g., tokenization, masking). Dataflow can process streaming data and apply transformations using DLP templates. Together, they can pseudonymise data before loading into 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.
- ✓
Cloud Dataflow
Why this is correct
Dataflow can read streaming data, apply DLP de-identification transforms, and write to BigQuery.
Related concept
CIDR notation defines the prefix length.
- ✓
Cloud Data Loss Prevention (DLP)
Why this is correct
Cloud DLP provides de-identification techniques like tokenization and masking for pseudonymisation.
Related concept
CIDR notation defines the prefix length.
- ✗
Cloud Storage
Why it's wrong here
Cloud Storage is a storage service, not for data transformation.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is a relational database, not a data processing pipeline for pseudonymisation.
- ✗
Cloud Functions
Why it's wrong here
Cloud Functions could be used but are less suited for high-throughput streaming. Dataflow is the recommended service.
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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Supporting Compliance Requirements — study guide chapter
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FAQ
Questions learners often ask
What does this PCSE question test?
Supporting Compliance Requirements — This question tests Supporting Compliance Requirements — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Cloud Dataflow — Cloud DLP can inspect and de-identify data, including pseudonymisation (e.g., tokenization, masking). Dataflow can process streaming data and apply transformations using DLP templates. Together, they can pseudonymise data before loading into 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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