Exam DP-100 topic 3 question 141 discussion

Box1 : privacy budget Box2 : Set the epsilon value to the sum of epsilon values assigned to the mean and variance queries.

correct answer.

Configuration option: C) Privacy Budget Action: D) Set the epsilon value to the sum of epsilon values assigned to the mean and variance queries When dealing with differential privacy, the "privacy budget" is often represented by the value of epsilon (ε). The value of epsilon is used to control the amount of noise added to the data to maintain privacy. When you perform multiple queries against the dataset, each one "uses" a part of this privacy budget. In order to maintain an appropriate level of overall privacy, you should consider that each separate query could potentially leak some information. Therefore, the cumulative privacy loss or total epsilon should be the sum of the epsilons for each query, not the smallest or largest single value. If you were to set the total epsilon to the smallest of the two values, you would be assuming that only one of the queries contributes to privacy loss, which is not the case.

from chat gtp: To minimize the risk of re-identification and ensure full plausible deniability when implementing a differential privacy solution using Azure Machine Learning and the SmartNoise Python libraries, you should configure the privacy budget. In this scenario, the appropriate action to take is: Action: 3) Set the epsilon value to the smaller of the epsilon values assigned to the mean and variance queries.