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  • Exam Name: Databricks Certified Professional Data Scientist Exam
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Databricks-Certified-Professional-Data-Scientist Questions and Answers

Question # 1

Your customer provided you with 2. 000 unlabeled records three groups. What is the correct analytical method to use?


Semi Linear Regression


Logistic regression


Naive Bayesian classification


Linear regression


K-means clustering

Question # 2

A fruit may be considered to be an apple if it is red, round, and about 3" in diameter. A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of the


Presence of the other features.


Absence of the other features.


Presence or absence of the other features


None of the above

Question # 3

Refer to the exhibit.

Databricks-Certified-Professional-Data-Scientist question answer

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.

Based on this information, on which attribute would you expect the next split to be in the decision tree?


Credit Score







Question # 4

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 ?









Question # 5

Refer to the exhibit.

Databricks-Certified-Professional-Data-Scientist question answer

You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of-squares (wss) data as shown in the exhibit. How many customer groups should you specify?









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