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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 11 of 43

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Q101.
What is the major role of knowledge as a required feature for survival?

a.

Data generation

b.

Decision-making support

c.

Biological evolution

d.

Proactive needs

Discuss
Answer: (b).Decision-making support Explanation:The major role of knowledge as a required feature for survival is decision-making support.
Q102.
What are the triggers for ontology evolution in networked and interlinked environments?

a.

External influences from external and heterogeneous information streams

b.

Biological evolution

c.

Formal knowledge representations

d.

Decision-making needs

Discuss
Answer: (a).External influences from external and heterogeneous information streams Explanation:The triggers for ontology evolution in networked and interlinked environments are external influences coming bottom-up from external and heterogeneous information streams.
Q103.
What is one of the essential requirements in domains where the role of ontologies has become established?

a.

Biological evolution

b.

Heterogeneous sensor networks

c.

Data generation

d.

Knowledge representations and reasoning

Discuss
Answer: (d).Knowledge representations and reasoning Explanation:In domains where the role of ontologies has become established, one of the essential requirements is knowledge representations and reasoning.
Q104.
What is one of the serious disadvantages of ontologies built using current knowledge engineering and management frameworks?

a.

Rapid evolution

b.

Continuous revisions

c.

Distortion between the world and knowledge

d.

Wider acceptance in industries

Discuss
Answer: (c).Distortion between the world and knowledge Explanation:One of the serious disadvantages of ontologies built using current knowledge engineering and management frameworks is the expanding and amplified distortion between the world and its reflection in knowledge.
Q105.
What is one of the major obstacles for the wider acceptance of semantic technologies in industries?

a.

Rapid ontology changes

b.

Expanding knowledge

c.

Selection of domain ontologies

d.

Distortion between world and knowledge

Discuss
Answer: (d).Distortion between world and knowledge Explanation:One of the major obstacles for the wider acceptance of semantic technologies in industries is the distortion between the world and its reflection in knowledge.
Q106.
How is the selection of the best-fitting knowledge representation currently carried out for processing Big Data semantics?

a.

Automatically by software algorithms

b.

By subjective preferences of knowledge engineers

c.

Based on historical data

d.

Through manual user input

Discuss
Answer: (b).By subjective preferences of knowledge engineers Explanation:The selection of the best-fitting knowledge representation for processing Big Data semantics is currently carried out by a knowledge engineer using his/her subjective preferences.
Q107.
What is the source of influences that lead to natural changes in ontologies in the knowledge evolution ecosystem?

a.

The subjective preferences of knowledge engineers

b.

The expansion of knowledge

c.

Big Data tokens coming into the species' environments

d.

Historical data records

Discuss
Answer: (c).Big Data tokens coming into the species' environments Explanation:The source of influences that lead to natural changes in ontologies in the knowledge evolution ecosystem is Big Data tokens coming into the species' environments.
Q108.
What does a Knowledge Organism (KO) carry as part of its individual knowledge?

a.

A physical body

b.

A genetic code

c.

An environmental map

d.

An individual knowledge genome

Discuss
Answer: (d).An individual knowledge genome Explanation:A Knowledge Organism (KO) carries its individual knowledge genome as part of its individual knowledge.
Q109.
What is the term used to represent the assertional component of a KO's knowledge?

a.

Genetic code

b.

Terminological Box (TBox)

c.

Environmental map

d.

Assertional component (ABox)

Discuss
Answer: (d).Assertional component (ABox) Explanation:The term used to represent the assertional component of a KO's knowledge is "Assertional component (ABox)."
Q110.
What is the capability of a KO that allows it to change both its genome and body?

a.

Morphogenesis

b.

Mutation

c.

Recombination

d.

Deliberation

Discuss
Answer: (b).Mutation Explanation:The capability of a KO that allows it to change both its genome and body is "Mutation."
Page 11 of 43

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