Data Science Quiz

Play this quiz that will help you to excel in Data Science certification exams, placements etc. This Data Science quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This Data Science test enables you to assess your knowledge of Data Science.

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Data Science MCQs

Practice Data Science MCQ Questions, which will help you to improve your data science skills and also helps you to prepare for placements, technical rounds, interviews, competitive exams etc.

Data Science Quiz

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Data Science Quiz

1. What will be output for the following code?

```A<-matrix(c(30,31,40,41,50,51,60,61,70),nrow = 3,byrow = T)

e <- eigen(A)

e\$values

e\$vectors```

148.737576 5.317459 -4.055035
147.737576 5.317459 -3.055035
147.737576 6.317459 -3.055035
146.737576 4.317459 -4.055035

2. What will be output for the following code?

```from scipy.special import logsumexp

import numpy as np

a = np.arange(10)

res = logsumexp(a)

print res```

10
9.45862974443
9
9.46

3. Raw data should be processed only one time.

True
False
Can be true or false
Can not say

4. The branch of statistics which deals with development of particular statistical methods is classified as

industry statistics
economic statistics
applied statistics
applied statistics

5. Which of the following model is usually a gold standard for data analysis?

Inferential
Descriptive
Causal
All of the above

6. The scipy.linalg.solve feature solves the _______.

integration problem
differentiation problem
linear equation
All of the above

7. Which of the following is true about hypothesis testing?

estimating numerical characteristics of the data
describing associations within the data
modeling relationships within the data

8. __________ may be defined as the data objects that do not comply with the general behavior or model of the data available.

Outlier Analysis
Evolution Analysis
Prediction
Classification

9. The mapping or classification of a class with some predefined group or class is known as?

Data Characterization
Data Discrimination
Data Set
Data Sub Structure

10. In which of the following cases will K-means clustering fail to give good results?
1) Data points with outliers
2) Data points with different densities
3) Data points with nonconvex shapes

1 and 2
2 and 3
1 and 3
All of the above