adplus-dvertising

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.

frame-decoration

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

Explore more Topics under Big Data Computing

Q21.
Why is it crucial to automate the process of "understanding" data on the WWW for Big Data?

a.

To reduce the volume of data on the WWW

b.

To increase human involvement in data processing

c.

To enable efficient querying of data

d.

To cope with the scale and complexity of data on the WWW

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.
Q22.
What is the Resource Description Framework (RDF) used for in the Semantic Web?

a.

It is used for querying semantic data.

b.

It is used for developing machine-processable semantics.

c.

It is used for distributing vocabularies.

d.

It is used for representing the semantics of data.

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?

a.

Graph data model

b.

Relational data model

c.

Document data model

d.

Semantic data model

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?

a.

Velocity

b.

Variety

c.

Volume

d.

Veracity

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?

a.

Streaming data processing

b.

Effective storage mechanisms

c.

Data integration

d.

Semantic data modeling

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?

a.

Velocity

b.

Volume

c.

Variety

d.

Value

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?

a.

Increasing data storage capacity

b.

Achieving faster data retrieval

c.

Increasing data value through effective integration

d.

Reducing data volume

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?

a.

HTML and CSS

b.

Java and JavaScript

c.

RDF and OWL

d.

SQL and PHP

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?

a.

HTML

b.

OWL

c.

SPARQL

d.

CSS

Discuss
Answer: (c).SPARQL Explanation:The W3C standard for querying RDF is SPARQL.
Q30.
What is the primary data model associated with SPARQL?

a.

Relational model

b.

Graph model

c.

Hierarchical model

d.

Document model

Discuss
Answer: (b).Graph model Explanation:The primary data model associated with SPARQL is the graph model.
Page 3 of 15

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Embedded Systems

Dive into the world of specialized computing systems with our Embedded Systems MCQs....

Reverse Engineering

Strengthen your understanding of Reverse Engineering with our curated set of MCQs....

HTML

Start your journey in web development with our HTML MCQs. Learn the building blocks...

JavaScript

Strengthen your web development skills with our JavaScript MCQs. Understand core...

CSS

Polish your web design skills with our CSS MCQs. Learn about selectors, properties,...

Software Architecture and Design

Get a strong hold on the blueprint of software systems with our Software Architecture...

Java Spring Framework

Enhance your Java development skills with our Spring Framework MCQs. Learn about...

MongoDB

Learn the leading NoSQL database with our MongoDB MCQs. Understand everything from...

Formal Languages and Automata Theory

Discover the mathematical models of computation with our Formal Languages and...