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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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Management of Big Semantic Data MCQs | Page 8 of 15

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Q71.
How is "Consumption" defined in the context of the workflow?

a.

The process of creating RDF data from scratch

b.

The process of publishing RDF data

c.

The process of consuming RDF data for diverse purposes

d.

The process of designing dereferenceable URIs

Discuss
Answer: (c).The process of consuming RDF data for diverse purposes Explanation:In the context of the workflow, "Consumption" is defined as the process of consuming RDF data for diverse purposes, such as querying, analysis, or visualization.
Q72.
In which scenario might scalability issues arise when managing RDF data on mobile devices?

a.

Only when dealing with large RDF data sets

b.

Only when dealing with small RDF data sets

c.

In both scenarios, regardless of the size of RDF data sets

d.

Scalability issues do not apply to RDF data management on mobile devices

Discuss
Answer: (c).In both scenarios, regardless of the size of RDF data sets Explanation:Scalability issues can arise when managing RDF data on mobile devices in both scenarios, whether dealing with large or small RDF data sets, due to resource constraints and transmission considerations.
Q73.
What is one of the problems associated with straightforward publication of RDF data sets?

a.

Lack of dereferenceable URIs

b.

Lack of SPARQL endpoints

c.

Lack of human-readable metadata

d.

Lack of publishers

Discuss
Answer: (c).Lack of human-readable metadata Explanation:One of the problems with straightforward publication of RDF data sets is the lack of human-readable metadata about contents, which is often incomplete and not systematic.
Q74.
What does VoiD (Vocabulary of Interlinked Data sets) aim to address in the context of RDF data sets?

a.

RDF serialization formats

b.

Discovery of data sets

c.

Licensing information

d.

Provenance of data

Discuss
Answer: (b).Discovery of data sets Explanation:VoiD (Vocabulary of Interlinked Data sets) aims to address the discovery of data sets by providing metadata about data sets, such as pointers to SPARQL endpoints and RDF dumps.
Q75.
What role do Semantic Sitemaps play in the context of RDF data sets?

a.

They provide human-readable metadata

b.

They extend the Sitemap Protocol for describing RDF data

c.

They provide licensing information

d.

They are used for querying RDF data

Discuss
Answer: (b).They extend the Sitemap Protocol for describing RDF data Explanation:Semantic Sitemaps extend the traditional Sitemap Protocol for describing RDF data, allowing crawling tools to discover and consume RDF data sets.
Q76.
How do publishers commonly materialize the output when providing dereferenceable URIs?

a.

By querying the data set at URI resolution time

b.

By storing all data in a single document

c.

By providing metadata in XML format

d.

By using SPARQL endpoints

Discuss
Answer: (a).By querying the data set at URI resolution time Explanation:Publishers commonly materialize the output by querying the data set at URI resolution time when providing dereferenceable URIs.
Q77.
Which RDF serialization format is known for being more compact and readable compared to RDF/XML?

a.

Notation3: N3

b.

Turtle

c.

RDF/JSON

d.

RDF/TXT

Discuss
Answer: (b).Turtle Explanation:Turtle is known for being more compact and readable compared to RDF/XML and Notation3: N3.
Q78.
What is a common practice to reduce exchange costs and delays when dealing with plain RDF serialization formats?

a.

Using efficient RDF indexing/querying structures

b.

Using specific interchange-oriented representations

c.

Using universal compressors like gzip

d.

Using SPARQL endpoints

Discuss
Answer: (c).Using universal compressors like gzip Explanation:Universal compressors like gzip are commonly used to reduce exchange costs and delays when dealing with plain RDF serialization formats.
Q79.
What role does the serialization format play in the performance of RDF consumption?

a.

It affects the ease of indexing RDF data sets

b.

It affects the efficiency of the underlying RDF indexes at the publisher

c.

It affects the cost of transmission

d.

It affects the number of SPARQL endpoints

Discuss
Answer: (c).It affects the cost of transmission Explanation:The serialization format affects the performance of RDF consumption through the transmission cost, as well as the ease of parsing.
Q80.
What is the main actor for efficient consumption of RDF data sets for both publishers and consumers?

a.

RDF serialization format

b.

RDF indexing/querying structure

c.

SPARQL endpoints

d.

Universal compressors

Discuss
Answer: (b).RDF indexing/querying structure Explanation:The main actor for efficient consumption of RDF data sets for both publishers and consumers is the RDF indexing/querying structure.
Page 8 of 15

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