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Privacy EngineeringhardMultiple SelectObjective-mapped

CDPSE Privacy Engineering Practice Question

A privacy engineer is implementing differential privacy on a dataset using Google Cloud's Differential Privacy library. Which THREE configuration steps are critical for minimizing re-identification risk?

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

Defining appropriate sensitivity bounds for the input data

Differential privacy involves setting epsilon, delta, and ensuring proper noise injection.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Choosing a random seed that is publicly known

    Why it's wrong here

    Publicly known seeds can lead to deterministic behavior.

  • Defining appropriate sensitivity bounds for the input data

    Why this is correct

    Sensitivity bounds dictate the amount of noise required.

  • Increasing the dataset size to infinite

    Why it's wrong here

    This is not a configurable parameter or a valid approach.

  • Setting a low Epsilon value for higher privacy loss limit

    Why this is correct

    Lower epsilon provides a stronger privacy guarantee.

  • Enabling Delta parameter for probabilistic privacy guarantees

    Why this is correct

    Delta represents the probability of breaking the epsilon guarantee.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official ISACA exam blueprint

This CDPSE practice question is part of Courseiva's free ISACA 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 CDPSE exam.