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You have a dataset that is stored in an Azure Machine Learning workspace. You must perform a data analysis for differential privacy by using the SmartNoise SDK. You need to measure the distribution of reports for repeated queries to ensure that they are balanced. Which type of test should you perform?
Correct Answer: A
- Privacy Test - Determines whether a report adheres to the conditions of differential privacy. - Accuracy Test - Measures whether the reliability of reports falls within the upper and lower bounds given a 95% confidence level. - Utility Test - Determines whether the confidence bounds of a report are close enough to the data while still maximizing privacy. - Bias Test - Measures the distribution of reports for repeated queries to ensure they aren't unbalanced https://www.virtualidentity.be/what-is-differential-privacy-in-machine-learning-preview/