Online Access Free Databricks-Certified-Professional-Data-Scientist Practice Test

Select the statement which applies correctly to the Naive Bayes

• A.Works with nominal values
• B.Sensitive to how the input data is prepared
• C.Works with a small amount of data

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

• A.R-squared never decreases upon adding more independent variables.
• B.When R square =1 , all the residuals are equal to 0
• C.R square can be increased by adding more variables to the model.
• D.When R square =0, all the residual are equal to 1

Support vector machines (SVMs) are a set of supervised learning methods used for

• A.Regression
• B.Non-linear classification
• C.Linear classification

A data scientist wants to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level. What is the most appropriate method for this project?

• A.K-means clustering
• B.Apriori algorithm
• C.Linear regression
• D.Logistic regression

Select the sequence of the developing machine learning applications
A) Analyze the input data
B) Prepare the input data
C) Collect data
D) Train the algorithm
E) Test the algorithm
F) Use It

• A.C, A, B, D, E, F
• B.C, B, A, D, E, F
• C.A, B, C, D, E, F
• D.C, B, A, D, E, F