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Exploring Big Data

Total questions: 46

Worksheet time: 31mins

Name
Class
Date
1.

What is Big Data?

a)

A large volume of data that can be structured or unstructured and is generated at high velocity.

b)

A small amount of data that is easy to process.

c)

A type of data that is only found in large corporations.

d)

A specific software used for data analysis.

2.

How are new technologies and innovation driving the adoption of Big Data?

a)

By increasing data storage capabilities

b)

By reducing the cost of data processing

c)

By enhancing data analysis techniques

d)

All of the above

3.

Big Data is increasingly available to organizations in a range of sectors.

a)

True

b)

False

4.

Big Data offers organizations opportunities such as:

a)

Improved decision making

b)

Increased data storage costs

c)

Reduced data accuracy

d)

Decreased customer insights

5.

What is big data?

a)

A small set of organized data

b)

An umbrella term for all non-traditional strategies and technologies required to organize, process, and gather insights from large datasets

c)

A type of software

d)

A traditional database management system

6.

Who said, 'Everything is going to be connected to cloud and data... All of this will be mediated by software'?

a)

Satya Nadella

b)

Sundar Pichai

c)

Tim Cook

d)

Elon Musk

7.

How often is five exabytes of data created now?

a)

Every 2 days

b)

Every 2 weeks

c)

Every 2 months

d)

Every 2 years

8.

What is data?

a)

Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things.

b)

Data is a type of food.

c)

Data is a form of art.

d)

Data is a kind of animal.

9.

Big data is:

a)

a small amount of data

b)

a large volume of data

c)

a type of database

d)

a programming language

10.

The main difference between big data and standard data is:

a)

Volume, velocity, and variety of data

b)

The color of the data

c)

The source of the data

d)

The cost of storing the data

11.

Big data sets can't be handled with standard data applications and tools because:

a)

They are too large and complex for traditional tools to process efficiently.

b)

They are not compatible with any existing data applications.

c)

They require less storage space than standard data sets.

d)

They can be easily managed with simple spreadsheets.

12.

What is 'big data'?

a)

A large volume of data that is difficult to process using traditional methods

b)

A small dataset that is easy to manage

c)

A type of database

d)

A programming language

13.

The three major categories of big data are:

a)

Volume, Velocity, Variety

b)

Volume, Value, Variety

c)

Velocity, Variety, Veracity

d)

Volume, Velocity, Veracity

14.

Structured data is organized into a relational database with unique identifiers. What is an example of structured data?

a)

A. JSON file

b)

B. XML file

c)

C. SQL database

d)

D. CSV file

15.

What are the three major categories of big data?

a)

A) Structured, Unstructured, Semi-structured

b)

B) Raw, Processed, Analyzed

c)

C) Text, Image, Video

d)

D) Numeric, Categorical, Ordinal

16.

Which category of big data is represented by the image?

a)

Structured Data

b)

Unstructured Data

c)

Semi-structured Data

d)

Raw Data

17.

What is one of the categories of big data shown in the image?

a)

Structured Data

b)

Unstructured Data

c)

Semi-structured Data

18.

What is unstructured data?

a)

Data that is organized in a predefined manner

b)

Data that lacks a specific format or structure

c)

Data that is stored in a database

d)

Data that is always in text format

19.

Which of the following is an example of unstructured data?

a)

A) A spreadsheet

b)

B) A database

c)

C) Text-based customer feedback

d)

D) A CSV file

20.

Structured Data is:

a)

A type of data that is organized and easily searchable

b)

Data that is unorganized and difficult to search

c)

A programming language

d)

A type of database

21.

What is Semi-structured Data?

a)

Data that is organized in a fixed schema

b)

Data that is not organized at all

c)

Data that does not conform to a fixed schema but has some organizational properties

d)

Data that is stored in a relational database

22.

An example of unstructured data is:

a)

A spreadsheet

b)

A database

c)

A text document

d)

A graph

23.

Semi-structured data does not exist in a database but has relational values and organization that can be analyzed. An example of semi-structured data is text in a document that is marked up or tagged with descriptions, as XML does in a word processing application. True or False?

a)

True

b)

False

24.

What is an example of semi-structured data?

a)

A database

b)

A text document marked up with XML

c)

A spreadsheet

d)

A plain text file

25.

In 2020, how much new data was reported to be stored on Facebook's databases every day?

a)

1 petabyte

b)

4 petabytes

c)

10 petabytes

d)

20 petabytes

26.

What is the total amount of data in the world estimated to be by the end of 2020?

a)

44 zettabytes

b)

44 gigabytes

c)

44 terabytes

d)

44 petabytes

27.

What is the estimated total amount of data in the world by the end of 2020?

a)

44 zettabytes

b)

50 zettabytes

c)

30 zettabytes

d)

60 zettabytes

28.

The primary components of Phase 1 (1970-2000) in the evolution of Big Data include:

a)

Development of relational databases and data warehousing

b)

Introduction of NoSQL databases

c)

Advancements in machine learning algorithms

d)

Emergence of cloud computing

29.

What are the two primary components of Phase 1 of Big Data?

4 lines
30.

In what year did IBM introduce the use of the Relational Database Management System (RDBMS)?

4 lines
31.

Explain the significance of the US government's creation of the world's first data center in Phase 1 of Big Data.

a)

It marked the beginning of the digital age.

b)

It was a response to the Cold War.

c)

It aimed to improve data storage and processing.

d)

It was a collaboration with private tech companies.

32.

What was the focus of data analysis for many organizations in phase 2 of big data?

a)

Customer behavior analysis

b)

Financial forecasting

c)

Supply chain optimization

d)

Social media trends

33.

The expansion of web traffic and online stores in the 2000s led to significant changes in data analysis. What was one major impact?

a)

Increased need for data storage solutions

b)

Decrease in online consumer behavior tracking

c)

Reduction in data analysis tools

d)

Less emphasis on data-driven decision making

34.

Which companies started using big data to analyze customer behavior during this phase?

a)

Company A

b)

Company B

c)

Company C

d)

Company D

35.

The growth of unstructured data presented challenges to organizations in terms of:

a)

Data storage and management

b)

Improved data analytics

c)

Enhanced data security

d)

Reduced data redundancy

36.

What is the main focus of the third phase of big data?

a)

Mobile and sensor-based content

b)

Cloud computing

c)

Social media

d)

Artificial intelligence

37.

How have smartphones contributed to big data according to the passage?

a)

By increasing data collection through apps and sensors

b)

By reducing the amount of data generated

c)

By limiting access to data

d)

By making data collection more expensive

38.

True or False: The use of sensor-based devices like TVs and refrigerators does not contribute to big data.

a)

True

b)

False

39.

What potential benefits does big data offer to organizations if implemented appropriately?

a)

Improved decision making

b)

Increased operational efficiency

c)

Enhanced customer insights

d)

All of the above

40.

How much data does Walmart collect every hour?

a)

1 petabyte

b)

2.5 petabytes

c)

5 petabytes

d)

10 petabytes

41.

One of the main benefits of using big data in a company is:

a)

Improved decision making

b)

Increased costs

c)

Reduced data security

d)

Decreased efficiency

42.

If organizations want to use big data effectively to achieve their goals, they must know about its main characteristics. What is one of these characteristics?

a)

Volume

b)

Color

c)

Shape

d)

Texture

43.

Which of the following is a characteristic of big data?

a)

Speed

b)

Volume

c)

Simplicity

d)

Clarity

44.

What is the total quantity of data stored known as?

4 lines
45.

List some sources of data for businesses as mentioned in the passage.

a)

Market research reports, customer feedback, and sales data

b)

Social media trends, competitor analysis, and financial statements

c)

Employee surveys, industry publications, and government statistics

d)

All of the above

46.

Data storage is less of a problem for companies now compared to the past because:

a)

storage technology has not advanced.

b)

data storage costs have increased.

c)

cloud storage solutions are widely available.

d)

companies store less data now.