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Privacy EngineeringhardMultiple ChoiceObjective-mapped

CDPSE Privacy Engineering Practice Question

You are designing a system for k-anonymity. If a dataset has an identifier that is unique to every row, what is the first step you must take before applying generalization?

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

Apply suppression to direct identifiers

Quasi-identifiers must be identified, and direct identifiers must be suppressed or removed, as k-anonymity does not protect against direct identification.

Answer analysis

Option-by-option breakdown

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

  • Add synthetic noise

    Why it's wrong here

    Noise is for differential privacy, not k-anonymity.

  • Normalize the dataset

    Why it's wrong here

    Normalization is for database performance.

  • Apply suppression to direct identifiers

    Why this is correct

    Direct identifiers must be removed to prevent simple record linking.

  • Increase the k-value

    Why it's wrong here

    K-value choice is a later step after data preparation.

About these practice questions

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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.