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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 13 of 43

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Discuss
Answer: (c).Based on the match ratio to the ontology schema characterizing the context Explanation:The choice of the appropriate environmental context for a newly arriving KO is determined based on the match ratio to the ontology schema characterizing the context in the environment.
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Answer: (c).They are sown in the environment without attributing them to any particular context. Explanation:Knowledge tokens that are not well-mapped to any ontology schema are sown in the environment without attributing them to any particular context.
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Answer: (c).It carries the schema of a distinct ontology module for a subject domain. Explanation:A knowledge genome etalon represents the schema (TBox) of a distinct ontology module for a subject domain in the proposed knowledge evolution ecosystem.
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Answer: (c).They are spread over the individual KOs belonging to the corresponding species. Explanation:Individual knowledge genomes and bodies are spread over the individual KOs belonging to the corresponding species in the proposed knowledge evolution ecosystem.
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Answer: (b).To reinforce dominant elements in the genome. Explanation:Spreading activation techniques are used to reinforce dominant elements in the genome in the proposed knowledge evolution ecosystem.
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Answer: (c).They are kept in the genome as part of the genetic memory. Explanation:Recessive elements may be kept in the genome as part of the genetic memory in the proposed knowledge evolution ecosystem.
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Answer: (b).They are removed from the genome. Explanation:If recessive elements contradict dominant elements in the genome, they may be removed from the genome in the proposed knowledge evolution ecosystem.
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Answer: (b).EKO receives influences from individual KOs belonging to the species. Explanation:In the proposed knowledge evolution ecosystem, evolution influences for the Etalon KO (EKO) are provided by individual KOs belonging to the species via communication.
Q129.
What problem-solving technique is relevant for evolving etalon genomes in the knowledge evolution ecosystem?
Discuss
Answer: (a).Structural Dynamic Uni-directional Distributed (SDUD) alignment Explanation:The relevant problem-solving technique for evolving etalon genomes in the knowledge evolution ecosystem is Structural Dynamic Uni-directional Distributed (SDUD) alignment.
Q130.
What may cause a noticeable structural difference in individual genomes within a species in the knowledge evolution ecosystem?
Discuss
Answer: (b).Different knowledge tokens collected by KOs Explanation:A noticeable structural difference in individual genomes within a species in the knowledge evolution ecosystem may be caused by different knowledge tokens collected by KOs in different environmental contexts.

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