Microsoft Exam DP-100 Topic 2 Question 80 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 80
Topic #: 2

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 Sobol sampling method over the hyperpara meter space.

Does the solution meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: C

import azureml.contrib.fairness package to perform the upload:

from azureml.contrib.fairness import upload_dashboard_dictionary, download_dashboard_by_upload_id

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-fairness-aml

by Dick at Feb 03, 2023, 08:28 AM

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Vanna

2 days ago

Sobol sampling? More like Sobo-rific! I bet the developer who came up with that name was feeling pretty clever. But hey, if it gets the job done, I'm all for it.

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Lawanda

9 days ago

The solution sounds good to me! Now, if only I could figure out how to make the Azure ML workspace do my laundry too...

upvoted 0 times

Nickole

2 days ago

A) Yes

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Malcom

10 days ago

Ah, the age-old question of hyperparameter tuning. Sobol sampling, huh? Sounds like it could work, but I'd love to see some real-world examples before committing to it.

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