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Welcome to the Introduction to Big Data MCQs Page

Dive deep into the fascinating world of Introduction to Big Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Introduction to Big Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Introduction to Big Data, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Introduction to Big Data. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Introduction to Big Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Introduction to Big Data MCQs | Page 2 of 43

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Q11.
What term is used to describe the current state of knowledge and data collection?

a.

Knowledge Economy

b.

Information Society

c.

Data Economy

d.

Data Society

Discuss
Answer: (d).Data Society Explanation:The current state is referred to as the "Data Economy" and "Data Society."
Q12.
According to Capgemini, what is the biggest impediment to effective decision-making using Big Data?

a.

Lack of available data

b.

Organizational silos

c.

Inefficient data processing

d.

Complex data formats

Discuss
Answer: (b).Organizational silos Explanation:Capgemini identifies organizational silos as the biggest impediment to effective decision-making using Big Data.
Q13.
What is the primary concern related to privacy in the context of Big Data?

a.

Data acquisition

b.

Legal considerations

c.

Data analysis

d.

Data sharing

Discuss
Answer: (c).Data analysis Explanation:Privacy is a primary concern in the context of Big Data, especially regarding data analysis.
Q14.
What does the International Telecommunications Union define as privacy?

a.

The right to access all personal data

b.

The right to share personal data

c.

The right to control or influence disclosed information about individuals

d.

The right to store personal data indefinitely

Discuss
Answer: (c).The right to control or influence disclosed information about individuals Explanation:Privacy, according to the International Telecommunications Union, is defined as the "right of individuals to control or influence what information related to them may be disclosed."
Q15.
What are some of the barriers to sharing data?

a.

Lack of processing power

b.

Legal considerations

c.

Data analysis challenges

d.

Transparent data analysis

Discuss
Answer: (b).Legal considerations Explanation:Barriers to sharing data include legal considerations, among other factors.
Q16.
What is the primary challenge associated with managing large volumes of data?

a.

Rapid advancements in computer resources

b.

Slow data volume growth

c.

Difficulty in finding suitable elements in a data set

d.

Data volume scaling faster than computer resources

Discuss
Answer: (d).Data volume scaling faster than computer resources Explanation:The primary challenge is that data volume is scaling faster than computer resources, making it difficult to extract meaning from the data.
Q17.
What is the role of automated systems in dealing with the increasing volume of data?

a.

Creating new data sources

b.

Mitigating data privacy concerns

c.

Assisting in making sense of data produced by other automated systems

d.

Increasing the speed of data acquisition

Discuss
Answer: (c).Assisting in making sense of data produced by other automated systems Explanation:Humans increasingly require the help of automated systems to make sense of the data produced by other automated systems.
Q18.
What is the purpose of creating index structures in the context of large data sets?

a.

To increase data privacy

b.

To facilitate data acquisition

c.

To permit quick retrieval of qualifying elements

d.

To ensure data transparency

Discuss
Answer: (c).To permit quick retrieval of qualifying elements Explanation:Index structures are created in advance to permit finding qualifying elements quickly in large data sets.
Q19.
What is the core issue when dealing with new data sources?

a.

Transparency in data analysis

b.

Rapid data growth

c.

Inefficient data processing

d.

Lack of relevant analytical issues

Discuss
Answer: (a).Transparency in data analysis Explanation:The core issue when dealing with new data sources is to analyze what the data are really telling us in an entirely transparent manner.
Q20.
What are the three major layers of the Big Data processing technology stack?

a.

Foundational, analytics, and applications

b.

Storage, access, and management

c.

Stream processing, distributed storage, and cloud infrastructures

d.

Research, development, and implementation

Discuss
Answer: (a).Foundational, analytics, and applications Explanation:The three major layers of the Big Data processing technology stack are foundational, analytics, and applications.
Page 2 of 43

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