
Answer-first summary for fast verification
Answer: Bias
The correct answer is A (Bias) because the question specifically asks to measure the distribution of reports for repeated queries to ensure they are balanced. In differential privacy testing with SmartNoise SDK, the bias test is designed to measure whether repeated queries produce results with a mean signed deviation close to zero, ensuring the distribution is balanced and not systematically skewed. This aligns with the official SmartNoise documentation referenced in the community discussion, which states that bias testing ensures DP algorithms on repeated runs should have a mean signed deviation close to zero. While utility testing (D) assesses overall usefulness of the privatized data, it doesn't specifically focus on measuring the balance of repeated query distributions like bias testing does. The community discussion shows strong support for A with multiple upvoted comments citing authoritative sources, while D has some support but less authoritative backing for this specific scenario.
Author: LeetQuiz Editorial Team
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You have a dataset stored in an Azure Machine Learning workspace and are performing a differential privacy analysis using the SmartNoise SDK.
You need to measure the distribution of results from repeated queries to ensure they are balanced.
Which type of test should you perform?
A
Bias
B
Privacy
C
Accuracy
D
Utility