Exam CCSP topic 1 question 478 discussion

The answer is B joo!

I disagree - data masking has a much wider use than just training and testing. B is probably closer to the truth, but all the answers are too limited and simplistic.

Data masking is a technique used to create realistic but inauthentic datasets that retain the statistical properties of real data but protect sensitive information. This is commonly used for software testing, user training, and data analytics while ensuring that actual sensitive data is not exposed. Why Not the Others? B. While data masking can obscure sensitive data, its primary purpose is not just to hide it, but to create usable, anonymized datasets. C.This describes partial masking (e.g., showing the last 4 digits of a credit card number), but data masking is broader than just partial obfuscation. D. Data masking does not necessarily strip out all digits; it modifies data in a way that maintains usability while protecting sensitive elements.

I think B is a typo.. "A method used to protect prying eyes from data such as social security numbers and credit card data" should read A method used to protect data from prying eyes such as social security numbers and credit card data

B: A method used to protect prying eyes from data such as social security numbers and credit card data

Data masking, also known as data obfuscation, is the process of disguising sensitive data in a database by replacing sensitive data with realistic but inauthentic data. This is done to protect the privacy of individuals and to prevent unauthorized access to sensitive information. Data masking is often used to create test datasets for software testing and user training, without revealing sensitive or proprietary data.

This is a terrible question. All answers are correct but A is the most general. Seems like software testing is specific and not general. Terrible question.

B or C, but I vote B

B. A method used to protect prying eyes from data such as social security numbers and credit card data.