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WiDS Bangalore @ IBM - International Women's Day

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

Which of the following is quantitative data type that take only a countable number of possibilities?

a)

Discrete

b)

Non Discrete

c)

Continuous

d)

All of the mentioned

2.

In Python, what is the maximum possible length of an identifier considering PEP-8 guidelines?

a)

31 characters

b)

63 characters

c)

79 characters

d)

None of the above

3.

Which of the following is an invalid variable

a)

my_string_1

b)

1st_string

c)

foo

d)

_

4.

Which of the following is an invalid statement

a)

abc = 1,000,000

b)

a b c = 1000 2000 3000

c)

a,b,c = 1000, 2000, 3000

d)

a_b_c = 1,000,000

5.

Which of the following cannot be a variable

a)

__init__

b)

in

c)

it

d)

on

6.

What is the answer to this expression, 22 % 3

a)

7

b)

1

c)

0

d)

5

7.

The chief aim of data analysis is to distinguish between

a)

quality control and quality assurance

b)

misrepresentation and plagiarism

c)

an event occurring as either reflecting a true effect versus a one occurring by chance

d)

right from wrong

8.

Which of the following is not a type of cloud

a)

Private

b)

Public

c)

Protected

d)

Hybrid

9.

In this type of cloud, the cloud is composed of multiple internal or external cloud

a)

Private

b)

Public

c)

Protected

d)

Hybrid

10.

The process of removing detail from a given state representation is called ______

a)

Extraction

b)

Abstraction

c)

Information Retrieval

d)

Mining of data

11.

Which model gives the probability of each word following each other word

a)

Diagram model

b)

Gram model

c)

Bigram model

d)

Speech model

12.

______________ is/are the way/s to represent uncertainty

a)

Fuzzy Logic

b)

Probability

c)

Entropy

d)

All of the mentioned

13.

Which character is used in Python to make a single line comment

a)

/

b)

//

c)

#

d)

!

14.

Which of the following characteristic of big data is more logically challenging to data science

a)

Velocity

b)

Variety

c)

Volume

d)

Visibility

15.

Which of the following is commonly referred to as ‘data fishing’

a)

Data bagging

b)

Data booting

c)

Data merging

d)

Data dredging