Exam CS0-002 topic 1 question 302 discussion

C. Looks to be correct. Maybe A if the question mentioned aggregating data for statistics. Data masking is a way to create a fake, but a realistic version of your organizational data. The goal is to protect sensitive data, while providing a functional alternative when real data is not needed—for example, in user training, sales demos, or software testing. Data masking processes change the values of the data while using the same format. The goal is to create a version that cannot be deciphered or reverse engineered. There are several ways to alter the data, including character shuffling, word or character substitution, and encryption.

Deidentification seems to deal with personal info... the question just says sensitive information - C.

Masking is a technique used to safeguard the confidentiality of sensitive information by obscuring parts of the data so that it is not completely visible to unauthorized individuals. Masking involves replacing sensitive information with fake data while still maintaining the appearance of the original information. This fake data can be anything from random characters to a fixed set of characters that do not represent the original information. The purpose of masking is to prevent unauthorized individuals from accessing sensitive information without compromising the data's utility for authorized users. This technique allows limited access to authorized individuals while protecting the confidentiality of sensitive information.