Microsoft Exam DP-100 Topic 4 Question 121 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 121
Topic #: 4

You use Azure Machine Learning to train a model.

You must use a sampling method for tuning hyperparameters. The sampling method must pick samples based on how the model performed with previous samples.

You need to select a sampling method.

Which sampling method should you use?

AGrid

BBayesian

CRandom

Show Suggested Answer

Suggested Answer: B

by Clay at Jan 26, 2025, 07:10 AM

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Arlette

3 days ago

I'm not sure. Grid sampling is also a valid option, as it exhaustively searches through all possible combinations.

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Myong

3 days ago

Random sampling? Really? That doesn't sound like it would be very effective for tuning hyperparameters. I'm going with Bayesian on this one.

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Sanjuana

4 days ago

I agree with Gracie. Bayesian sampling considers previous samples, which can lead to better hyperparameter tuning.

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Gracie

8 days ago

I think we should use Bayesian sampling.

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Merissa

8 days ago

I think Bayesian sampling would be the best choice here. It's designed to pick samples based on previous performance, which is exactly what the question asks for.

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