Which data protection strategy would be useful for a situation where the ability to remove sensitive data from a set is needed, but a requirement to retain the ability to map back to the original values is also present?

QuestionsCategory: CCSPWhich data protection strategy would be useful for a situation where the ability to remove sensitive data from a set is needed, but a requirement to retain the ability to map back to the original values is also present?
Admin Staff asked 6 months ago
Which data protection strategy would be useful for a situation where the ability to remove sensitive data from a set is needed, but a requirement to retain the ability to map back to the original values is also present?

A. Masking

B. Tokenization

C. Encryption

D. Anonymization








 

Suggested Answer: B

Community Answer: B

Tokenization involves the replacement of sensitive data fields with key or token values, which can ultimately be mapped back to the original, sensitive data values.
Masking refers to the overall approach to covering sensitive data, and anonymization is a type of masking, where indirect identifiers are removed from a data set to prevent the mapping back of data to an individual. Encryption refers to the overall process of protecting data via key pairs and protecting confidentiality.

This question is in CCSP Certified Cloud Security Professional Exam
For getting Certified Cloud Security Professional (CCSP) Certificate






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