Exam Professional Cloud Security Engineer topic 1 question 183 discussion

The best option would be A. Use date shifting with the context set to the unique ID of the test subject. Date shifting is a technique used to obfuscate date data by shifting all dates in a dataset by a random number of days, while preserving the intervals between the dates. By setting the context to the unique ID of the test subject, you ensure that the same random shift is applied to all dates for a given test subject, preserving the interval data. This method effectively obfuscates the specific dates, reducing the risk of bias, while still allowing for meaningful analysis of the data.

Option A and D works, but the focus here is to preserve the interval data. So option A is more suited in this case. "Date shifting techniques randomly shift a set of dates but preserve the sequence and duration of a period of time. Shifting dates is usually done in context to an individual or an entity. That is, each individual's dates are shifted by an amount of time that is unique to that individual."

Option A is good

A - date shifting. Bucketing is not an option here, because we would lose the order. Encryption is overpowered here https://cloud.google.com/dlp/docs/concepts-date-shifting

A- date shifting.