Exam SY0-601 topic 1 question 546 discussion

Just putting it out there that in professor's messer's practice exam, there is the following question where the answer is tokenisation and not data masking or data anonymisation that this forum has been advocating for this question and Q6. C15. Which of the following is the process for replacing sensitive data with a non-sensitive and functional placeholder? A. Minimization B. Tokenization C. Retention D. Masking In messer's answer, he explained as such: Tokenization replaces sensitive data with a token, and this token can be used as a functional placeholder for the original data. Data masking hides some of the original data to protect it from view. While hidden, this data cannot be used for any functional purpose.

This is interesting as this is a question that's already presented in earlier questions of this collection. However, anonymization is presented in the older question; here it is not. Moreover, data masking is present in both. I'm going with C

https://www.tonic.ai/guides/data-masking-vs-tokenization-finding-the-differences#:~:text=Data%20masking%20is%20used%20to,example%2C%20for%20use%20in%20analytics.

Data masking is the answer.

With tokenization, the data would be removed, satisfying the CPO. The data would be replaced with a functional token, allowing the team to conduct functionality tests. Masking the data does not remove it. The answer is D.

I know AWS is not the source of truth for Comptia, but it's a trusted source anyway. Here tokenization is describes as one of the possible data masking techniques: https://aws.amazon.com/what-is/data-masking/ I'm not advocating for any answers. It's just worth to pose a question sometimes.

Data masking... It simply ensures the efficient use of masked data for analysis without fear of leaking private information.

Data masking refers to modifying data to hide the original content. The primary reason to do so is to protect sensitive information such as PII. The process retains usable data but converts it to inauthentic data. Get Certified Get Ahead SY0-601 Darril Gibson

On second thought it might be data masking... https://www.k2view.com/blog/data-masking-vs-tokenization/#Which-One-Should-You-Choose

https://www.geeksforgeeks.org/difference-between-tokenization-and-masking/ id go with tokenization

Data masking, also known as data obfuscation or data anonymization, is a technique used to protect sensitive data by disguising original data with modified content. It allows the development team to perform functionality tests and search for specific data without exposing real sensitive information. Instead, the masked data presents a representation of the original data that does not reveal any sensitive details. By implementing data masking, the company can maintain data privacy and security while still enabling the development team to work with realistic data for testing and development purposes.

Data purge * Remove a part of the data I choose C. Data masking

Similar to question #6. In this case the answer should be C. Data masking