Microsoft Exam DP-100 Topic 10 Question 79 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 79
Topic #: 10

You have an Azure Machine Learning workspace. You plan to tune model hyperparameters by using a sweep job.

You need to find a sampling method that supports early termination of low-performance jobs and continuous hyperpara meters.

Solution: Use the Bayesian sampling method over the hyperparameter space.

Does the solution meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: C

Differential privacy tries to protect against the possibility that a user can produce an indefinite number of reports to eventually reveal sensitive data. A value known as epsilon measures how noisy, or private, a report is. Epsilon has an inverse relationship to noise or privacy. The lower the epsilon, the more noisy (and private) the data is.

https://docs.microsoft.com/en-us/azure/machine-learning/concept-differential-privacy

by Merissa at Jan 07, 2023, 12:34 PM

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15 days ago

I think the solution meets the goal.

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