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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
Question # 11

What describes a true property of Logistic Regression method?

Options:

A.  

It handles missing values well.

B.  

It works well with discrete variables that have many distinct values.

C.  

It is robust with redundant variables and correlated variables.

D.  

It works well with variables that affect the outcome in a discontinuous way.

Discussion 0
Question # 12

In which of the following scenario you should apply the Bay's Theorem

Options:

A.  

The sample space is partitioned into a set of mutually exclusive events {A1, A2, . .., An }.

B.  

Within the sample space, there exists an event B, for which P(B) > 0.

C.  

The analytical goal is to compute a conditional probability of the form: P(Ak | B ).

D.  

In all above cases

Discussion 0
Question # 13

A researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution, effect admission into graduate school. The response variable, admit/don't admit, is a binary variable.

Above is an example of

Options:

A.  

Linear Regression

B.  

Logistic Regression

C.  

Recommendation system

D.  

Maximum likelihood estimation

E.  

Hierarchical linear models

Discussion 0
Question # 14

You are using one approach for the classification where to teach the agent not by giving explicit categorizations, but by using some sort of reward system to indicate success, where agents might be rewarded for doing certain actions and punished for doing others. Which kind of this learning

Options:

A.  

Supervised

B.  

Unsupervised

C.  

Regression

D.  

None of the above

Discussion 0
Question # 15

Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?

Options:

A.  

P(E1,E2,E3)P(E1)/P(E2:E3)

B.  

P(E1,E2;E3)/P(E2,E3)

C.  

P(E1,E2|E3)P(E2|E3)P(E3)

D.  

P(E1,E2|E3)P(E3)

E.  

P(E1,E2,E3)P(E2)P(E3)

Discussion 0
Question # 16

Select the correct option which applies to L2 regularization

Options:

A.  

Computational efficient due to having analytical solutions

B.  

Non-sparse outputs

C.  

No feature selection

Discussion 0
Question # 17

Which of the following is a Continuous Probability Distributions?

Options:

A.  

Binomial probability distribution

B.  

Negative binomial distribution

C.  

Poisson probability distribution

D.  

Normal probability distribution

Discussion 0
Question # 18

Your company has organized an online campaign for feedback on product quality and you have all the responses for the product reviews, in the response form people have check box as well as text field. Now you know that people who do not fill in or write non-dictionary word in the text field are not considered valid feedback. People who fill in text field with proper English words are considered valid response. Which of the following method you should not use to identify whether the response is valid or not?

Options:

A.  

Naive Bayes

B.  

Logistic Regression

C.  

Random Decision Forests

D.  

Any one of the above

Discussion 0
Question # 19

Which of the following skills a data scientists required?

Options:

A.  

Web designing to represent best visuals of its results from algorithm.

B.  

He should be creative

C.  

Should possess good programming skills

D.  

Should be very good at mathematics and statistic

E.  

He should possess database administrative skills.

Discussion 0
Question # 20

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 0
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