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Databricks DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST - Questions & Answers

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Question 1
Single choice

Which of the following is not a correct application for the Classification?

A.

credit scoring

B.

tumor detection

C.

image recognition

D.

drug discovery

Question 2
Single choice

Select the correct statement which applies to Principal component analysis (PCA):

A.

Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables.

B.

Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (higher) number of uncorrelated variables

C.

Increase the dimensionality of the data set.

D.

1 and 3 are correct

E.

1 and 2 are correct

Question 3
Single choice

You are working as a data science consultant for a gaming company. You have three member team and all other stake holders are from the company itself like project managers and project sponsored, data team etc.
During the discussion project managed asked you that when can you tell me that the model you are using is robust enough, after which step you can consider answer for this question?

A.

Data Preparation

B.

Discovery

C.

Operationalize

D.

Model planning

E.

Model building

Question 4
Multiple choice

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

A.

Linear classification

B.

Non-linear classification

C.

Regression

Question 5
Single choice

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

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

Question 6
Single choice

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims.

Which of the following technique is suitable to find out whether the claim is valid or not?

A.

Naive Bayes

B.

Logistic Regression

C.

Random Decision Forests

D.

Any one of the above

Question 7
Multiple choice

Which of the following steps you will be using in the discovery phase?

A.

What all are the data sources for the project?

B.

Analyze the Raw data and its format and structure.

C.

What all tools are required, in the project?

D.

What is the network capacity required

E.

What Unix server capacity required?

Question 8
Multiple choice

Select the correct statement which applies to logistic regression:

A.

Computationally inexpensive, easy to implement knowledge representation easy to interpret

B.

May have low accuracy

C.

Works with Numeric values

Question 9
Single choice

Classification and regression are examples of___________.

A.

supervised learning

B.

un-supervised learning

C.

Clustering

D.

Density estimation

Question 10
Single choice

Which method is used to solve for coefficients bO, b1, ... bn in your linear regression model:

A.

Apriori Algorithm

B.

Ridge and Lasso

C.

Ordinary Least squares

D.

Integer programming

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