Exam DP-100 topic 5 question 26 discussion

Actual exam question from Microsoft's DP-100

Question #: 26
Topic #: 5

You have a dataset that includes confidential data. You use the dataset to train a model.
You must use a differential privacy parameter to keep the data of individuals safe and private.
You need to reduce the effect of user data on aggregated results.
What should you do?

A. Decrease the value of the epsilon parameter to reduce the amount of noise added to the data
B. Increase the value of the epsilon parameter to decrease privacy and increase accuracy
C. Decrease the value of the epsilon parameter to increase privacy and reduce accuracy
D. Set the value of the epsilon parameter to 1 to ensure maximum privacy

Show Suggested Answer

Suggested Answer: C 🗳️

by bbigwolf at Sept. 1, 2022, 3:34 a.m.

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GHill1982

11 months, 2 weeks ago

Selected Answer: C

To reduce the effect of user data on aggregated results, you should use a smaller value of the differential privacy parameter, also known as epsilon or ε. This parameter controls the level of privacy and the amount of noise added to the data. A smaller epsilon means more noise and less influence of any individual record on the output of the analysis.

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phdykd

1 year, 10 months ago

C. A lower epsilon reduces the impact of an individual's data on aggregated results, increasing privacy and reducing accuracy

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JTWang

2 years, 2 months ago

Selected Answer: C

A lower epsilon reduces the impact of an individual's data on aggregated results, increasing privacy and reducing accuracy https://learn.microsoft.com/zh-tw/training/modules/explore-differential-privacy/5-knowledge-check

upvoted 3 times

tgaos

1 year, 10 months ago

Check this url: https://learn.microsoft.com/en-us/training/modules/explore-differential-privacy/5-knowledge-check This guy is right, answer is C

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nahner

2 years, 3 months ago

"The lower the epsilon, the less impact an individual's data has on aggregated results, and therefore the risk of exposure is reduced." See https://docs.microsoft.com/en-us/training/modules/explore-differential-privacy/5-knowledge-check

upvoted 3 times

Xubh13

2 years, 3 months ago

Have you been given DP100 recently?

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bbigwolf

2 years, 4 months ago

"You need to reduce the effect of user data on aggregated results" should be B

upvoted 2 times

dalinar_kholin

2 years ago

Wrong! https://github.com/MicrosoftLearning/mslearn-dp100/blob/main/13%20-%20Explore%20Differential%20Privacy.ipynb

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