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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 9 of 15

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

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