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Microsoft Exam DP-100 Topic 4 Question 121 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 121
Topic #: 4
[All DP-100 Questions]

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?

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Suggested Answer: B

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

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Vince
22 days ago
If I choose random sampling, I might as well just throw darts at the answer choices and hope for the best. Bayesian is the way to go, hands down.
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Dorian
26 days ago
Bayesian sampling is the clear winner here. It's like having a crystal ball that tells you which samples to try next. Grid and random sampling are so last century.
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Jonelle
1 months ago
Grid sampling might work, but it's not the most efficient method for tuning hyperparameters. Bayesian is the way to go if you want to optimize your model's performance.
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Lon
4 days ago
I agree, Bayesian sampling is more efficient for tuning hyperparameters.
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Anastacia
16 days ago
I think Bayesian sampling would be the best choice.
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Arlette
2 months 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
2 months 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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Boris
17 days ago
Random sampling might not be the most effective method for this task.
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Filiberto
1 months ago
I agree, Bayesian sampling is a better choice for tuning hyperparameters.
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Sanjuana
2 months ago
I agree with Gracie. Bayesian sampling considers previous samples, which can lead to better hyperparameter tuning.
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Gracie
2 months ago
I think we should use Bayesian sampling.
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Merissa
2 months 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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Jade
12 hours ago
Bayesian sampling is definitely the right option for this scenario.
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Xenia
6 days ago
I think Bayesian sampling is the most suitable choice.
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Raymon
20 days ago
I agree, Bayesian sampling is the way to go.
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