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GCDL Practice Question: Ensure that sensitive data (credit card numbers,…
This GCDL practice question tests your understanding of ensure that sensitive data (credit card numbers,…. 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
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Security Command Center — it scans BigQuery for sensitive data automatically.
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
Distractor review
Cloud Audit Logs — they record all BigQuery queries and can identify when sensitive columns are accessed.
Audit logs record who accessed what when, but don't classify data content or automatically identify where sensitive data lives in BigQuery tables.
C
Distractor review
Cloud Monitoring custom dashboards with SQL queries that search for PII patterns.
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
Best answer
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.
Common exam trap
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.
Technical deep dive
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.
Related practice questions
Related GCDL practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
A traditional retailer currently maintains its own data centers, purchasing servers every 3–5 years and paying for facilities, power, and staff regardless of demand. When it migrates its workloads to the public cloud, which change in cost model does it experience?
Question 2
An e-commerce company plans its infrastructure for peak shopping events (e.g., Black Friday) which drive 50× normal traffic. On-premises, they must maintain 50× capacity year-round. In the cloud, they provision 50× capacity only during peak periods. Which cloud characteristic enables this cost optimization?
Question 3
Which term describes the process by which organizations integrate digital technology into all areas of their business, fundamentally changing how they operate and deliver value to customers?
Question 4
When a company moves from maintaining its own data center to using Google Cloud, which operational responsibility does Google assume that the company previously managed?
Question 5
A hospital runs a patient records system that must remain on-premises due to strict regulatory data residency requirements. However, they also want to use cloud-based AI for diagnostic imaging analysis. Which cloud deployment model best describes their architecture?
Question 6
What is virtualization in the context of cloud computing, and why is it fundamental to how cloud providers deliver services?
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FAQ
Questions learners often ask
What does this GCDL question test?
CIDR notation defines the prefix length.
What is the correct answer to this question?
The correct answer is: Cloud Data Loss Prevention (Cloud DLP) with BigQuery inspection jobs. — Cloud Data Loss Prevention (Cloud DLP) is Google Cloud's sensitive data discovery and protection service. It can scan Cloud Storage, BigQuery, Datastore, and other sources to automatically identify sensitive data using 100+ built-in detectors (credit cards, SSNs, passport numbers, etc.) as well as custom detectors. DLP can de-identify (redact, mask, tokenize) sensitive data and supports scheduled or triggered scanning for ongoing governance.
What should I do if I get this GCDL 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 GCDL subnetting questions on CIDR, address ranges, and subnet selection.
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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.