Which of the following is the BEST way to ensure personal data used for a data analytics project cannot be identified?

The correct answer is B. Anonymization. Anonymization irreversibly removes or transforms personal identifiers so that individuals cannot be re-identified, even when the data is combined with other datasets. This is the strongest privacy protection for analytics use cases. Tokenization (A) replaces data with a token tha

Submitted by dimitri_ru· Apr 18, 2026Protection of Information Assets

Question

Options

ATokenization
BAnonymization
CReidentification
DRandomization

How the community answered

(33 responses)

A
3% (1)
B
88% (29)
C
3% (1)
D
6% (2)

Explanation

Anonymization irreversibly removes or transforms personal identifiers so that individuals cannot be re-identified, even when the data is combined with other datasets. This is the strongest privacy protection for analytics use cases. Tokenization (A) replaces data with a token that maps back to the original via a vault - it is reversible and therefore does not prevent identification by those with vault access. Reidentification (C) is the process of re-linking anonymized data back to individuals, which is the opposite of the goal. Randomization (D) introduces noise but does not systematically remove identifying attributes and alone does not prevent re-identification.

Topics

#Data privacy#Data anonymization#Personal data protection#Data identification

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