- A
Security Command Center — it scans BigQuery for sensitive data automatically.
Why wrong: SCC provides security findings about GCP configuration misconfigurations and threats. Sensitive data classification is done by Cloud DLP, which integrates with SCC as a finding source.
- B
Cloud Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs.
Cloud DLP natively scans BigQuery tables to identify sensitive data using built-in and custom infoTypes. Scheduled jobs provide continuous governance monitoring; de-identification transforms protect identified data.
- C
Cloud Monitoring custom dashboards with SQL queries that search for PII patterns.
Why wrong: Cloud Monitoring tracks metrics, not data content. Custom SQL queries could detect some patterns but can't scale to the comprehensive sensitive data detection that DLP provides.
- D
Cloud Audit Logs — they record all BigQuery queries and can identify when sensitive columns are accessed.
Why wrong: Audit logs record who accessed what when, but don't classify data content or automatically identify where sensitive data lives in BigQuery tables.
Quick Answer
Cloud Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs is the correct choice because it provides both automated identification of sensitive data like credit card numbers and SSNs within BigQuery tables, and ongoing scanning through scheduled inspection jobs that detect new data violating governance policies. Cloud DLP uses built-in infoType detectors—such as the Luhn check for credit cards and pattern matching for SSNs—to classify sensitive content, and it can trigger alerts or automated actions when policy violations are found. On the Google Cloud Digital Leader exam, this scenario tests your understanding of how Cloud DLP integrates with BigQuery for continuous data governance, often appearing as a contrast to manual classification tools or IAM-based access controls. A common trap is confusing Cloud DLP with Cloud Audit Logs, which only record access events rather than inspect data content. Memory tip: think “DLP = Detect, Log, Protect” for ongoing sensitive data inspection in BigQuery.
Cloud Digital Leader Trust and security with Google Cloud Practice Question
This GCDL practice question tests your understanding of trust and security with google cloud. 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 wants to ensure that sensitive data (credit card numbers, SSNs) stored in BigQuery is automatically identified and protected. They also want ongoing scanning to detect if any new data violates their data governance policies. Which Google Cloud service provides these capabilities?
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 Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs.
Cloud DLP with BigQuery inspection jobs is the correct choice because it provides both automated identification of sensitive data (such as credit card numbers and SSNs) within BigQuery tables and ongoing scanning capabilities via scheduled inspection jobs. Cloud DLP uses built-in infoType detectors to match patterns like credit card numbers (Luhn check) and SSNs, and can trigger actions or alerts when new data violates governance policies.
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.
- ✗
Security Command Center — it scans BigQuery for sensitive data automatically.
Why it's wrong here
SCC provides security findings about GCP configuration misconfigurations and threats. Sensitive data classification is done by Cloud DLP, which integrates with SCC as a finding source.
- ✓
Cloud Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs.
Why this is correct
Cloud DLP natively scans BigQuery tables to identify sensitive data using built-in and custom infoTypes. Scheduled jobs provide continuous governance monitoring; de-identification transforms protect identified data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Monitoring custom dashboards with SQL queries that search for PII patterns.
Why it's wrong here
Cloud Monitoring tracks metrics, not data content. Custom SQL queries could detect some patterns but can't scale to the comprehensive sensitive data detection that DLP provides.
- ✗
Cloud Audit Logs — they record all BigQuery queries and can identify when sensitive columns are accessed.
Why it's wrong here
Audit logs record who accessed what when, but don't classify data content or automatically identify where sensitive data lives in BigQuery tables.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Security Command Center's broad security scanning with Cloud DLP's specific data-level inspection, or assume that logging or monitoring tools can perform content analysis without specialized pattern-matching engines.
Detailed technical explanation
How to think about this question
Cloud DLP inspection jobs use a library of over 150 built-in infoType detectors (e.g., CREDIT_CARD_NUMBER, US_SOCIAL_SECURITY_NUMBER) that apply regex patterns, checksums (Luhn algorithm for credit cards), and contextual analysis to minimize false positives. Jobs can be scheduled via Cloud Scheduler or triggered by Cloud Pub/Sub events, and results can be written to BigQuery for audit trails or used to trigger automated redaction or tokenization via Cloud DLP de-identification templates.
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.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this GCDL question test?
Trust and security with Google Cloud — This question tests Trust and security with Google Cloud — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs. — Cloud DLP with BigQuery inspection jobs is the correct choice because it provides both automated identification of sensitive data (such as credit card numbers and SSNs) within BigQuery tables and ongoing scanning capabilities via scheduled inspection jobs. Cloud DLP uses built-in infoType detectors to match patterns like credit card numbers (Luhn check) and SSNs, and can trigger actions or alerts when new data violates governance policies.
What should I do if I get this GCDL 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: Jun 11, 2026
This GCDL 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 GCDL exam.
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