PCSE Ensuring Data Protection Practice Question
A healthcare organization uses Cloud DLP to scan a Cloud Storage bucket containing medical records. They want to inspect for sensitive data such as patient names and SSNs, but only on new objects added after a certain date. Which DLP configuration should they 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
✓
Use Cloud Functions to trigger DLP inspection on new object creation events
The correct approach is to use Cloud Functions triggered by Cloud Storage object finalize events. When a new object is added, the Cloud Function invokes the Cloud DLP API to inspect only that object. This provides real-time scanning of new data without rescanning the entire bucket. Option D is incorrect because DLP job triggers do not support a `time_filter` parameter to limit scans to objects after a specific date; they scan the entire bucket or a defined subset on a schedule.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Cloud Functions to trigger DLP inspection on new object creation events
Why this is correct
Cloud Functions can respond to Cloud Storage events and call DLP to inspect the new object.
- ✗
Create a DLP job trigger with a schedule that runs daily and scans the entire bucket
Why it's wrong here
This would scan all objects repeatedly, not just new ones.
- ✗
Use BigQuery to query the bucket and then scan the results with DLP
Why it's wrong here
This would be inefficient and not incremental.
- ✗
Create a DLP job trigger with a schedule and set `cloud_storage_options.time_filter` to scan only objects after a date
Why it's wrong here
Time filter is not supported for Cloud Storage in DLP job triggers.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.