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Databricks-Certified-Professional-Data-Scientist Dumps - Databricks Certified Professional Data Scientist Exam Practice Exam Questions

Databricks Databricks-Certified-Professional-Data-Scientist - Databricks Certified Professional Data Scientist Exam Braindumps

Databricks Databricks-Certified-Professional-Data-Scientist - Databricks Certification Practice Exam

  • Certification Provider:Databricks
  • Exam Code:Databricks-Certified-Professional-Data-Scientist
  • Exam Name:Databricks Certified Professional Data Scientist Exam Exam
  • Total Questions:138 Questions and Answers
  • Updated on:May 28, 2024
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Databricks-Certified-Professional-Data-Scientist Question and Answers

Question # 1

Which of the following statement is true for the R square value in the regression model?

Options:

A.  

When R square =1 , all the residuals are equal to 0

B.  

When R square =0, all the residual are equal to 1

C.  

R square can be increased by adding more variables to the model.

D.  

R-squared never decreases upon adding more independent variables.

Discussion 0
Question # 2

Google Adwords studies the number of men, and women, clicking the advertisement on search

engine during the midnight for an hour each day.

Google find that the number of men that click can be modeled as a random variable with distribution

Poisson(X), and likewise the number of women that click as Poisson(Y).

What is likely to be the best model of the total number of advertisement clicks during the midnight for an hour ?

Options:

A.  

Binomial(X+Y,X+Y)

B.  

Poisson(X/Y)

C.  

Normal(X+Y(M+Y)1/2)

D.  

Poisson(X+Y)

Discussion 0
Question # 3

You are using k-means clustering to classify heart patients for a hospital. You have chosen Patient Sex, Height, Weight, Age and Income as measures and have used 3 clusters. When you create a pair-wise plot of the clusters, you notice that there is significant overlap between the clusters. What should you do?

Options:

A.  

Identify additional measures to add to the analysis

B.  

Remove one of the measures

C.  

Decrease the number of clusters

D.  

Increase the number of clusters

Discussion 0

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