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Maintaining and Automating Data WorkloadshardMultiple ChoiceObjective-mapped

PDE Maintaining and Automating Data Workloads Practice Question

A company wants to use Cloud DLP to inspect data in BigQuery for sensitive information and de-identify it by masking credit card numbers. They want to perform this on a schedule. Which approach should they take?

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 DLP inspect and de-identify jobs triggered by Cloud Scheduler

Cloud DLP can inspect BigQuery tables and de-identify using transforms like masking. Scheduling can be done via Cloud Scheduler.

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 Dataplex data quality rules with a custom SQL regex

    Why it's wrong here

    Dataplex quality rules do not perform de-identification.

  • Use Cloud Data Loss Prevention API with Cloud Composer

    Why it's wrong here

    This option fails because Cloud DLP API with Cloud Composer necessitates building a custom workflow to iterate BigQuery tables and manage the de-identification process programmatically. It does not provide the direct, managed capability for *scheduled inspection jobs specifically targeting BigQuery tables* that the scenario requires. However, this approach is tempting as Composer orchestrates scheduled workflows, and the API offers granular control. It would be appropriate for highly bespoke data processing pipelines or inspecting data sources not natively supported by Cloud DLP's managed scan jobs.

  • Use BigQuery column-level security with classification

    Why it's wrong here

    Column-level security restricts access but does not mask data.

  • Use Cloud DLP inspect and de-identify jobs triggered by Cloud Scheduler

    Why this is correct

    DLP supports scheduled inspection and de-identification via Cloud Scheduler.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.