Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 2 Question 45 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam

Question #: 45
Topic #: 2

[All Databricks-Certified-Professional-Data-Scientist Questions]

Select the correct option which applies to L2 regularization

AComputational efficient due to having analytical solutions

BNon-sparse outputs

CNo feature selection

Show Suggested Answer

Suggested Answer: B

by Cecil at Aug 04, 2023, 08:38 AM

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Evan

4 days ago

Non-sparse outputs? That's not really what I want from my model. I need something that can help me with feature selection.

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Herminia

13 days ago

I believe it's option B) Non-sparse outputs because it helps in keeping all the features in the model.

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Cherelle

14 days ago

Hmm, I thought L2 regularization was supposed to be computationally efficient, but this question says it doesn't have analytical solutions. I'm a bit confused.

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Vi

17 days ago

So, which option do you think applies to L2 regularization?

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Herminia

22 days ago

I agree, it helps in reducing the complexity of the model.

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Vi

25 days ago

I think L2 regularization is important for preventing overfitting.

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