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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 9 of 15

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Q81.
Which approach groups triples by predicates and stores them in independent 2-column tables (S,O)?

a.

Vertical partitioning

b.

Horizontal partitioning

c.

RDF-3X

d.

Hexastore

Discuss
Answer: (a).Vertical partitioning Explanation:The approach that groups triples by predicates and stores them in independent 2-column tables (S,O) is called vertical partitioning.
Q82.
What do RDF stores like Hexastore and RDF-3X build indices for?

a.

All possible combinations of elements in RDF

b.

Only subject-predicate-object combinations

c.

Only subject-object combinations

d.

Only predicate-object combinations

Discuss
Answer: (a).All possible combinations of elements in RDF Explanation:RDF stores like Hexastore and RDF-3X build indices for all possible combinations of elements in RDF, including SPO, SOP, PSO, POS, OPS, and OSP.
Q83.
What are the main requirements for an RDF serialization format of Big Semantic Data?

a.

It must be generated efficiently from another RDF input format.

b.

It must be difficult to convert to other representations.

c.

It should be unable to locate pieces of data within the whole data set.

d.

It must be space efficient.

Discuss
Answer: (a).It must be generated efficiently from another RDF input format. Explanation:The main requirements for an RDF serialization format of Big Semantic Data are that it must be generated efficiently from another RDF input format and it must be space efficient.
Q84.
Why is reducing the size of the RDF dump important for big semantic data sets?

a.

It reduces the need for post-processing.

b.

It minimizes the bandwidth costs of the server and waiting time of consumers.

c.

It simplifies the conversion to other representations.

d.

It allows for more complex triple patterns.

Discuss
Answer: (b).It minimizes the bandwidth costs of the server and waiting time of consumers. Explanation:Reducing the size of the RDF dump is important for big semantic data sets because it minimizes the bandwidth costs of the server and the waiting time of consumers who are retrieving the data set.
Q85.
What is the advantage of having the data pre-sorted in the serialization format?

a.

It reduces the need for post-processing.

b.

It makes the data set more space-efficient.

c.

It simplifies the conversion to other representations.

d.

It enables more efficient multi-index generation.

Discuss
Answer: (d).It enables more efficient multi-index generation. Explanation:Having the data pre-sorted in the serialization format enables more efficient multi-index generation.
Q86.
What does the requirement that the serialization format should be able to locate pieces of data within the whole data set mean?

a.

It should make the data set smaller.

b.

It should enable direct access to any piece of data in the data set.

c.

It should require a full scan over the data set to locate data.

d.

It should support only simple triple patterns.

Discuss
Answer: (b).It should enable direct access to any piece of data in the data set. Explanation:The requirement that the serialization format should be able to locate pieces of data within the whole data set means that it should enable direct access to any piece of data in the data set without requiring a full scan.
Q87.
Which aspect of the RDF serialization format has the most significant impact on transmission costs and latency for consumption?

a.

Compression method used

b.

The number of triples in the dataset

c.

The size of the RDF store indexing

d.

The ease of converting to other representations

Discuss
Answer: (a).Compression method used Explanation:The compression method used in the RDF serialization format has the most significant impact on transmission costs and latency for consumption.
Q88.
What is one of the main concerns for performance in most consumption scenarios of RDF data?

a.

The choice of RDF serialization format

b.

The availability of multiple SPARQL endpoints

c.

The variety of data in the RDF dataset

d.

The velocity of data generation

Discuss
Answer: (a).The choice of RDF serialization format Explanation:One of the main concerns for performance in most consumption scenarios of RDF data is the choice of RDF serialization format.
Q89.
How can data sets be made space-efficient in RDF serialization?

a.

By using plain and verbose formats

b.

By not using any compression method

c.

By using the Efficient XML Interchange Format (EXI)

d.

By increasing the size of RDF dump files

Discuss
Answer: (c).By using the Efficient XML Interchange Format (EXI) Explanation:Data sets can be made space-efficient in RDF serialization by using the Efficient XML Interchange Format (EXI).
Q90.
Which factor influences performance for both publishers and consumers in RDF data exchange?

a.

The ease of parsing RDF data

b.

The availability of external RDF datasets

c.

The variety of data sources in the RDF dataset

d.

The number of RDF triples in the dataset

Discuss
Answer: (a).The ease of parsing RDF data Explanation:The ease of parsing RDF data influences performance for both publishers and consumers in RDF data exchange.
Page 9 of 15

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