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Databricks-Certified-Professional-Data-Scientist Dumps With Exact Questions and Answers

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Databricks-Certified-Professional-Data-Scientist Questions and Answers

Question # 1

You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?

A.

You will randomly reduce the number of variables

B.

You will find the correlation among the variables and from their variables are not co-related will be discarded.

C.

You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.

D.

You cannot discard any variable for creating clusters.

E.

You can combine several variables in one variable

Question # 2

Regularization is a very important technique in machine learning to prevent over fitting. And Optimizing with a L1 regularization term is harder than with an L2 regularization term because

A.

The penalty term is not differentiate

B.

The second derivative is not constant

C.

The objective function is not convex

D.

The constraints are quadratic

Question # 3

You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual. Which algorithm is the most appropriate for this study?

A.

Association rules

B.

Decision trees

C.

Linear regression

D.

K-means clustering

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