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Welcome to the Management of Big Semantic Data MCQs Page

Dive deep into the fascinating world of Management of Big Semantic Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Management of Big Semantic Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Management of Big Semantic 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 Management of Big Semantic 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 Management of Big Semantic Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Management of Big Semantic Data MCQs | Page 3 of 15

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Discuss
Answer: (d).To cope with the scale and complexity of data on the WWW Explanation:It is crucial to automate the process of "understanding" (giving meaning to) data on the WWW for Big Data because it helps cope with the scale and complexity of data on the WWW.
Discuss
Answer: (d).It is used for representing the semantics of data. Explanation:The Resource Description Framework (RDF) in the Semantic Web is used for representing the semantics of data.
Q23.
What is the basic data model for resources and relations in RDF?
Discuss
Answer: (a).Graph data model Explanation:The basic data model for resources and relations in RDF is the graph data model.
Q24.
Which dimension of Big Data is primarily concerned with the amount of data generated and stored in massive data sets?
Discuss
Answer: (c).Volume Explanation:The dimension of Big Data primarily concerned with the amount of data generated and stored in massive data sets is Volume.
Q25.
What is the main challenge related to Big Data volume?
Discuss
Answer: (b).Effective storage mechanisms Explanation:The main challenge related to Big Data volume is effective storage mechanisms.
Q26.
Which dimension of Big Data describes the rate at which data flows in a distributed scenario?
Discuss
Answer: (a).Velocity Explanation:The dimension of Big Data that describes the rate at which data flows in a distributed scenario is Velocity.
Q27.
What is one of the main objectives in Big Data processing related to the dimension of Variety?
Discuss
Answer: (c).Increasing data value through effective integration Explanation:One of the main objectives in Big Data processing related to the dimension of Variety is increasing data value through effective integration.
Q28.
Which languages have been developed for describing semantic data in the Semantic Web?
Discuss
Answer: (c).RDF and OWL Explanation:The languages developed for describing semantic data in the Semantic Web are RDF (Resource Description Framework) and OWL (Web Ontology Language).
Q29.
What is the W3C standard for querying RDF?
Discuss
Answer: (c).SPARQL Explanation:The W3C standard for querying RDF is SPARQL.
Q30.
What is the primary data model associated with SPARQL?
Discuss
Answer: (b).Graph model Explanation:The primary data model associated with SPARQL is the graph model.

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