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Databricks Databricks-Certified-Professional-Data-Scientist Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Professional-Data-Scientist
Exam Name:
Databricks Certified Professional Data Scientist Exam
Certification:
Databricks Certification
Vendor:
Databricks
Questions:
138
Last Updated:
Sep 16, 2025
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Scientist

Databricks-Certified-Professional-Data-Scientist: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Professional Data Scientist Exam Questions and Answers

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Question 1

Select the correct option which applies to L2 regularization

Options:

A.

Computational efficient due to having analytical solutions

B.

Non-sparse outputs

C.

No feature selection

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Question 2

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims. Which of the following technique is suitable to find out whether the claim is valid or not?

Options:

A.

Naive Bayes

B.

Logistic Regression

C.

Random Decision Forests

D.

Any one of the above

Question 3

Regularization is a very important technique in machine learning to prevent overfitting. Mathematically speaking, it adds a regularization term in order to prevent the coefficients to fit so perfectly to overfit. The difference between the L1 and L2 is...

Options:

A.

L2 is the sum of the square of the weights, while L1 is just the sum of the weights

B.

L1 is the sum of the square of the weights, while L2 is just the sum of the weights

C.

L1 gives Non-sparse output while L2 gives sparse outputs

D.

None of the above

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