Rounding and nulling are examples of which type of data de-identification function?

The correct answer is C. Masking. Rounding (reducing precision, e.g., changing a birthdate to birth year) and nulling (replacing a value with null/blank) are both forms of data masking - techniques that obscure or suppress specific data values to prevent identification while retaining a usable dataset structure.

Data Life Cycle

Question

Options

AHashing
BTokenization
CMasking
DSalting

How the community answered

(21 responses)

A
5% (1)
C
90% (19)
D
5% (1)

Explanation

Rounding (reducing precision, e.g., changing a birthdate to birth year) and nulling (replacing a value with null/blank) are both forms of data masking - techniques that obscure or suppress specific data values to prevent identification while retaining a usable dataset structure. Hashing (A) transforms data into a fixed-length digest using an algorithm. Tokenization (B) replaces sensitive data with a non-sensitive surrogate token. Salting (D) adds random data to input before hashing to prevent rainbow table attacks. None of those techniques involve rounding or nulling values.

Topics

#Data De-identification#Data Masking#Privacy-enhancing technologies

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