CDPSE Privacy Engineering Practice Question
Which THREE privacy-enhancing technologies are commonly used to facilitate data analysis on distributed datasets without centralizing the raw PII?
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
✓
Federated Learning
SMPC, Federated Learning, and Differential Privacy all allow for privacy-preserving analysis of distributed data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Federated Learning
Why this is correct
Trains models without moving raw data.
- ✓
Secure Multi-Party Computation
Why this is correct
Allows distributed calculation.
- ✓
Differential Privacy
Why this is correct
Adds noise to protect individual privacy.
- ✗
Full disk encryption
Why it's wrong here
This is for storage security.
- ✗
Network load balancing
Why it's wrong here
This is for infrastructure.
About these practice questions
Courseiva writes every CDPSE question from scratch — 215 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.