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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 7 of 15

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Q61.
Which category of stakeholders includes processes like semantic tagging and folksonomies within social networks?

a.

Automatic stakeholders

b.

Supervised processes

c.

Human stakeholders

d.

Sensor stakeholders

Discuss
Answer: (b).Supervised processes Explanation:Processes like semantic tagging and folksonomies within social networks fall under the category of "Supervised processes."
Q62.
How is the concept of "Automatic RDF streaming" relevant to the development of smart cities?

a.

It enables offline analysis of data in smart cities.

b.

It allows for real-time streaming of RDF data in smart city environments.

c.

It focuses on intensive processing by smart city consumers.

d.

It is not relevant to the development of smart cities.

Discuss
Answer: (b).It allows for real-time streaming of RDF data in smart city environments. Explanation:The concept of "Automatic RDF streaming" is relevant to the development of smart cities as it allows for real-time streaming of RDF data in smart city environments.
Q63.
What is the main focus of the "Publication" step in the Publication-Exchange-Consumption workflow?

a.

Making RDF data available for diverse purposes

b.

Providing dereferenceable URIs

c.

Exposing data through public APIs

d.

Interpreting SPARQL queries

Discuss
Answer: (a).Making RDF data available for diverse purposes Explanation:The main focus of the "Publication" step is making RDF data available for diverse purposes.
Q64.
What is the primary purpose of "Exchange" in the Publication-Exchange-Consumption workflow?

a.

Sharing data between consumers

b.

Providing dereferenceable URIs

c.

Exchanging RDF data between publishers and consumers

d.

Interpreting SPARQL queries

Discuss
Answer: (c).Exchanging RDF data between publishers and consumers Explanation:The primary purpose of "Exchange" is to exchange RDF data between publishers and consumers.
Q65.
How is "Exchange" defined in the context of the workflow?

a.

The process of information exchange between publishers and consumers in any format

b.

The process of exchanging data in CSV format

c.

The process of exchanging data in XML format

d.

The process of exchanging RDF data between publishers and consumers

Discuss
Answer: (d).The process of exchanging RDF data between publishers and consumers Explanation:In the context of the workflow, "Exchange" is defined as the process of exchanging RDF data between publishers and consumers.
Q66.
What is the definition of "Consumption" in the Publication-Exchange-Consumption workflow?

a.

The process of consuming RDF data for diverse purposes

b.

The process of publishing RDF data

c.

The process of creating RDF data from scratch

d.

The process of designing dereferenceable URIs

Discuss
Answer: (a).The process of consuming RDF data for diverse purposes Explanation:"Consumption" in the workflow is defined as the process of consuming RDF data for diverse purposes.
Q67.
In which context can scalability issues arise when managing RDF data?

a.

Only in the context of large RDF data sets

b.

Only in the context of mobile devices

c.

In both the context of large RDF data sets and mobile devices

d.

Scalability issues do not apply to RDF data management

Discuss
Answer: (c).In both the context of large RDF data sets and mobile devices Explanation:Scalability issues can arise when managing RDF data in both the context of large RDF data sets and mobile devices.
Q68.
What is the main requirement for publishers following the Linked Data principles?

a.

Providing complex data analysis

b.

Providing dereferenceable URIs

c.

Exposing data through public APIs

d.

Exchanging data in non-RDF formats

Discuss
Answer: (b).Providing dereferenceable URIs Explanation:Publishers following the Linked Data principles are required to provide dereferenceable URIs, which are essential for identifying and accessing entities in the RDF data.
Q69.
Which of the following is NOT considered part of the "Publication" step in the Publication-Exchange-Consumption workflow?

a.

Providing dereferenceable URIs

b.

Exposing data through public APIs

c.

Interpreting SPARQL queries

d.

Offering RDF dumps for download

Discuss
Answer: (c).Interpreting SPARQL queries Explanation:Interpreting SPARQL queries is not typically considered part of the "Publication" step. Instead, it's a service provided by the publisher to consumers during the "Consumption" step.
Q70.
What does the "Exchange" step primarily involve?

a.

Exchanging data between publishers and consumers in any format

b.

Exchanging RDF data between publishers and consumers

c.

Exchanging RDF data between consumers

d.

Exchanging data in CSV format

Discuss
Answer: (b).Exchanging RDF data between publishers and consumers Explanation:The "Exchange" step primarily involves the exchange of RDF data between publishers and consumers.
Page 7 of 15

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