You have a dataset that contains salary information for users. You plan to generate an aggregate salary report that shows average salaries by city. Privacy of individuals must be preserved without impacting accuracy, completeness, or reliability of the data. The aggregation must be statistically consistent with the distribution of the original data. You must return an approximation of the data instead of the raw data. You need to apply a…

QuestionsCategory: DP-100You have a dataset that contains salary information for users. You plan to generate an aggregate salary report that shows average salaries by city. Privacy of individuals must be preserved without impacting accuracy, completeness, or reliability of the data. The aggregation must be statistically consistent with the distribution of the original data. You must return an approximation of the data instead of the raw data. You need to apply a…
Admin Staff asked 4 months ago
You have a dataset that contains salary information for users. You plan to generate an aggregate salary report that shows average salaries by city.
Privacy of individuals must be preserved without impacting accuracy, completeness, or reliability of the data. The aggregation must be statistically consistent with the distribution of the original data. You must return an approximation of the data instead of the raw data.
You need to apply a differential privacy approach.
What should you do?

A. Add noise to the salary data during the analysis

B. Encrypt the salary data before analysis

C. Remove the salary data

D. Convert the salary data to the average column value








 

Suggested Answer: D



This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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