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Privacy EngineeringhardMultiple SelectObjective-mapped

CDPSE Privacy Engineering Practice Question

When designing a privacy-preserving data pipeline, which TWO strategies help achieve 'Data Minimization'?

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

Truncating or hashing identifiers before ingestion

Data aggregation and truncation/hashing are effective ways to reduce the granularity of data and minimize the presence of identifiable information.

Answer analysis

Option-by-option breakdown

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

  • Disabling all audit logging

    Why it's wrong here

    Audit logs are necessary for accountability, not a target for minimization.

  • Truncating or hashing identifiers before ingestion

    Why this is correct

    This reduces the granularity of data at the entry point of the pipeline.

  • Increasing the retention period for backups

    Why it's wrong here

    Retention should be minimized, not increased.

  • Storing all raw data in a data lake for future use

    Why it's wrong here

    This violates the principle of purpose limitation and data minimization.

  • Aggregating data points to a higher level of abstraction

    Why this is correct

    Aggregation removes the need for individual-level identifiers.

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.