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DS: Chapter 1

Total questions: 17

Worksheet time: 25mins

Name
Class
Date
1.

Data Science is

a)

The science of creating data.

b)

It is a branch of Social Studies.

c)

Multidisciplinary study of data collections for analysis, prediction, learning and prevention.

d)

It is a specialized field of study under Artificlal Intelligence

2.

Which steps in Data Science is correct?

a)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

b)

Data Acquisition -> Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization

c)

Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization -> Data Acquisition

d)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

3.

In Data Acquisition stage, the following which type and source of data are correct.

a)

User and Inventory data from transaction databases.

b)

Social Engagement from Social Networks like Facebook Twitter.

c)

Training Data from from tools like CrowdFlower, Mechanical Turk.

d)

Customer Support data from Call Logs, Emails

4.

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

a)

True

b)

False

5.

Predictive data modeling involves the collection of data on consumer behaviour to predict future consumer behaviour and to take action accordingly. Following are the valid examples of the same.

a)

Recommendation systems (netflix, pandora, amazon, etc.)

b)

Online user behaviour is used to predict best targeted ads

c)

Customer purchase histories are used to determine how to price,stock, market and display future products.

d)

Payroll data in the organization.

6.

Data used for analysis can come from many different sources such as generated by

a)

Machine

b)

Human

c)

All the answer

7.

What will be the prerequisites for Data Science?

a)

Machine Learning

b)

Database

c)

Imagination

d)

Programming

8.

Are mathematic-based field is one of the major core in Data Science?

a)

True

b)

False

9.

Does Data Science dealing with

a)

Pre-prepared and clean data

b)

Messy and uncomplete data

10.

The following which one is NOT under Data Science?

a)

Collect the data

b)

Analyze the data

c)

design the machine and system

d)

Design a predictive model

11.

Are data and information is correlated?

a)

True

b)

False

12.

Which of the following skills needed in computation thinking?

a)

Decomposition

b)

Pattern recognition

c)

Algorithms

d)

Programming

13.

Which of the following is importance language for Data Science?

a)

Java

b)

R

c)

Ruby

d)

C++

14.

Point out the correct statement:

a)

Raw data is original source of data

b)

Preprocessed data is original source of data

c)

Raw data is the data obtained after processing steps

d)

None of the Mentioned

15.

Which of the following step is performed by data scientist after acquiring the data ?

a)

Data Integration

b)

Data Replication

c)

Data Cleaning

d)

All of the Mentioned

16.

What is the Computational Thinking?

a)

Solve simple problem

b)

Break complication problem into many simple steps

c)

Combine simple problem together into one step

17.

Which of the following is Not the process of Computational Thinking

a)

Decomposition

b)

Algorithms

c)

Programming

d)

Pattern Recognition