CDPSE · Question #355
In a system implementation project where production data must be used for testing, which of the following practices would MOST effectively protect customer data privacy?
The correct answer is C. Data obfuscation. Data obfuscation replaces real personal data with realistic but fictitious substitute values (e.g., replacing a real name with a randomly generated name, or masking a credit card number), preserving the data's format and referential integrity for testing purposes while…
Question
In a system implementation project where production data must be used for testing, which of the following practices would MOST effectively protect customer data privacy?
Options
- AData minimization
- BData classification
- CData obfuscation
- DData cleansing
How the community answered
(31 responses)- A6% (2)
- B10% (3)
- C81% (25)
- D3% (1)
Explanation
Data obfuscation replaces real personal data with realistic but fictitious substitute values (e.g., replacing a real name with a randomly generated name, or masking a credit card number), preserving the data's format and referential integrity for testing purposes while eliminating the privacy risk of exposing actual customer information. Data minimization (A) reduces the amount of data used but does not de-identify what remains. Data classification (B) labels data by sensitivity but does not alter or protect the data itself. Data cleansing (D) removes inaccurate or duplicate records to improve quality - it is not a privacy protection technique.
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