- A
Dataplex
Why wrong: Dataplex provides data quality rules and governance, but not de-identification transforms.
- B
Cloud Data Catalog
Why wrong: Data Catalog is for metadata management, not data inspection or de-identification.
- C
Cloud DLP
Cloud DLP inspects and de-identifies sensitive data in BigQuery, Cloud Storage, and other sources.
- D
Dataflow
Why wrong: Dataflow is a data processing engine; you could implement de-identification in code, but Cloud DLP is the managed service for this.
Question 51 of 1,000
PDE Maintaining and Automating Data Workloads Practice Question
This PDE practice question tests your understanding of maintaining and automating data workloads. 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.
You are designing a data quality pipeline that must inspect PII in BigQuery tables and de-identify sensitive columns before sharing with analysts. Which GCP service should you 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
✓
Cloud DLP
Cloud DLP (Data Loss Prevention) is the correct choice because it is purpose-built for inspecting, classifying, and de-identifying sensitive data such as PII. It integrates natively with BigQuery via inspection jobs and de-identification templates, allowing you to scan tables for over 150 built-in infoTypes (e.g., email, SSN) and apply transformations like masking, tokenization, or encryption before sharing data with analysts.
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.
- ✗
Dataplex
Why it's wrong here
Dataplex provides data quality rules and governance, but not de-identification transforms.
- ✗
Cloud Data Catalog
Why it's wrong here
Data Catalog is for metadata management, not data inspection or de-identification.
- ✓
Cloud DLP
Why this is correct
Cloud DLP inspects and de-identifies sensitive data in BigQuery, Cloud Storage, and other sources.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Dataflow
Why it's wrong here
Dataflow is a data processing engine; you could implement de-identification in code, but Cloud DLP is the managed service for this.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Dataplex's data governance features (like policy tags and metadata) with actual de-identification, but Dataplex cannot transform data—it only applies access controls, whereas Cloud DLP performs the actual masking or tokenization of sensitive values.
Detailed technical explanation
How to think about this question
Cloud DLP uses InfoType detectors and likelihood thresholds to classify data, and its de-identification templates support techniques like deterministic encryption (using AES-256-SIV), format-preserving tokenization, and date shifting. A subtle behavior is that DLP inspection jobs can be scheduled via Cloud Scheduler or triggered by BigQuery table changes using Eventarc, enabling automated compliance workflows without manual intervention.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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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Maintaining and Automating Data Workloads — study guide chapter
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FAQ
Questions learners often ask
What does this PDE question test?
Maintaining and Automating Data Workloads — This question tests Maintaining and Automating Data Workloads — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud DLP — Cloud DLP (Data Loss Prevention) is the correct choice because it is purpose-built for inspecting, classifying, and de-identifying sensitive data such as PII. It integrates natively with BigQuery via inspection jobs and de-identification templates, allowing you to scan tables for over 150 built-in infoTypes (e.g., email, SSN) and apply transformations like masking, tokenization, or encryption before sharing data with analysts.
What should I do if I get this PDE 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
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Last reviewed: Jul 4, 2026
This PDE 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 PDE exam.
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