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Databricks Updated Databricks-Certified-Professional-Data-Scientist Exam Questions and Answers by yasin

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Databricks Databricks-Certified-Professional-Data-Scientist Exam Overview :

Exam Name: Databricks Certified Professional Data Scientist Exam
Exam Code: Databricks-Certified-Professional-Data-Scientist Dumps
Vendor: Databricks Certification: Databricks Certification
Questions: 138 Q&A's Shared By: yasin
Question 12

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?

Options:

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

Discussion
Question 13

Which of the following is a correct example of the target variable in regression (supervised learning)?

Options:

A.

Nominal values like true, false

B.

Reptile, fish, mammal, amphibian, plant, fungi

C.

Infinite number of numeric values, such as 0.100, 42.001, 1000.743..

D.

All of the above

Discussion
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Question 14

Select the choice where Regression algorithms are not best fit

Options:

A.

When the dimension of the object given

B.

Weight of the person is given

C.

Temperature in the atmosphere

D.

Employee status

Discussion
Question 15

A problem statement is given as below

Hospital records show that of patients suffering from a certain disease, 75% die of it. What is the probability that of 6 randomly selected patients, 4 will recover?

Which of the following model will you use to solve it.

Options:

A.

Binomial

B.

Poisson

C.

Normal

D.

Any of the above

Discussion
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