CDPSE Privacy Engineering Practice Question
What is the primary privacy advantage of using 'On-Device Processing' for machine learning inference?
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
✓
Reduction in data transfer of sensitive inputs
On-device processing keeps raw user data on the local device, preventing the need to transmit sensitive information to a central server.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Easier debugging of the model
Why it's wrong here
Debugging is typically harder in decentralized edge environments.
- ✓
Reduction in data transfer of sensitive inputs
Why this is correct
By not sending the data to the cloud, the risk of interception or unauthorized storage is eliminated.
- ✗
Faster cloud infrastructure scaling
Why it's wrong here
On-device processing reduces reliance on cloud infrastructure.
- ✗
Improved model accuracy
Why it's wrong here
Accuracy is not necessarily improved by moving compute to the edge.
About these practice questions
One of 215 original CDPSE practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.