Data Pre Processing QUIZ - MCQ QUESTIONS AND ANSWERS

Question: 1

What are the different types of attributes?

Question: 2

Examples of Nominal can be:

Question: 3

Examples of Ordinal can be:

Question: 4

Examples of Interval can be:

Question: 5

The type of a Nominal attribute depends on which of the following properties:

Question: 6

The type of an Interval attribute depends on which of the following properties:

Question: 7

The type of an Ordinal attribute depends on which of the following properties:

Question: 8

Important Characteristics of Structured Data are:

Question: 9

What are some examples of data quality problems:

Question: 10

Which Method is used for encoding the categorical variables?

Question: 11

Under fitting happens due to -

Question: 12

Over fitting happens due to -

Question: 13

Why do we need feature transformation?

Question: 14

Which of the following is true about outliers -

Question: 15

Some of the Imputation methods are -

Question: 16

Which algorithm does not require feature scaling?

Question: 17

The purpose of feature scaling is to -

Question: 18

In standardization, the features will be rescaled with -

Question: 19

What is a Dummy Variable Trap?

Question: 20

Which of the following(s) is/are features scaling techniques?

Question: 21

The characteristic of a good dataset is-

Question: 22

How to handle the missing values in the dataset?

Question: 23

The correct way of pre processing the data should be-

Question: 24

Which one is a feature extraction example?

Question: 25

Which of these techniques is used for normalization in text mining?

Question: 26

What stemming refers to in text mining?

Question: 27

Which is the correct order for pre processing in Natural Language Processing?

Question: 28

Bag of Words in text pre processing is a-

Question: 29

In text mining, how the words ‘lovely’ is converted to ‘love’-

Question: 30

Stop words are-