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Databricks Certified Professional Data Scientist Exam

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Total Questions : 138

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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
Question # 4

In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

Options:

A.  

Discovery

B.  

Data Preparation

C.  

Model Building

D.  

Communicate Results

Discussion 0
Question # 5

Classification and regression are examples of___________.

Options:

A.  

supervised learning

B.  

un-supervised learning

C.  

Clustering

D.  

Density estimation

Discussion 0
Question # 6

Which is an example of supervised learning?

Options:

A.  

PCA

B.  

k-means clustering

C.  

SVD

D.  

EM

E.  

SVM

Discussion 0
Question # 7

Question-18. What is the best way to ensure that the k-means algorithm will find a good clustering of a collection of vectors?

Options:

A.  

Only consider values of k larger than log(N), where N is the number of observations in the data set

B.  

Run at least log(N) iterations of Lloyd's algorithm, where N is the number of observations in the data set

C.  

Choose the initial centroids so that they all He along different axes

D.  

Choose the initial centroids so that they are far away from each other

Discussion 0
Question # 8

A denote the event 'student is female' and let B denote the event 'student is French'. In a class of 100 students suppose 60 are French, and suppose that 10 of the French students are females. Find the probability that if I pick a French student, it will be a girl, that is, find P(A|B).

Options:

A.  

1/3

B.  

2/3

C.  

1/6

D.  

2/6

Discussion 0
Question # 9

In which lifecycle stage are test and training data sets created?

Options:

A.  

Model planning

B.  

Discovery

C.  

Model building

D.  

Data preparation

Discussion 0
Question # 10

Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then which of the following technique best fit.

Options:

A.  

Support vector machines

B.  

Naive Bayes

C.  

Logistic regression

D.  

Random decision forests

E.  

All of the above

Discussion 0
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