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Welcome to the Scalable End User Access to Big Data MCQs Page

Dive deep into the fascinating world of Scalable End User Access to Big Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Scalable End User Access to Big Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Scalable End User Access to Big 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 Scalable End User Access to Big Data. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

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Scalable End User Access to Big Data MCQs | Page 8 of 14

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Q71.
What is one of the main aspects considered when comparing schema mappings in research?
Discuss
Answer: (d).Their semantic indistinguishability. Explanation:One of the main aspects considered when comparing schema mappings in research is their semantic indistinguishability, which is captured by logical equivalence.
Discuss
Answer: (d).Transforming schema mappings for efficient query answering. Explanation:One of the challenges in mapping management within the realm of OBDA is transforming schema mappings for efficient query answering.
Discuss
Answer: (a).When the ontology changes. Explanation:Mappings in OBDA systems may become obsolete when the ontology changes.
Discuss
Answer: (c).To approximate complex mappings with tractable ones. Explanation:The goal of mapping simplification in the context of OBDA is to approximate complex mappings with tractable ones while maintaining their expressiveness.
Discuss
Answer: (c).By approximating the ontology to be as expressive as possible. Explanation:The problem of accommodating new vocabulary or knowledge from new data sources in OBDA can be addressed by approximating the ontology to be as expressive as possible while still falling within the required profile.
Q76.
What is the goal of defining a specific language for querying schema mappings?
Discuss
Answer: (b).To analyze schema mappings freely. Explanation:The goal of defining a specific language for querying schema mappings is to analyze schema mappings freely.
Discuss
Answer: (b).To ensure the scalability of query answering. Explanation:Designing a query language over a mapping meta-model aims to ensure the scalability of query answering.
Q78.
How can reasoning techniques based on a mapping meta-model support the evolution of schema mappings?
Discuss
Answer: (d).By specifying actions in response to update operations. Explanation:Reasoning techniques based on a mapping meta-model can support the evolution of schema mappings by specifying actions in response to update operations on the meta-model instances.
Q79.
What is the main goal of a reasoning system that monitors changes and reactions to them in schema mappings?
Discuss
Answer: (d).To specify actions in response to changes. Explanation:The main goal of a reasoning system that monitors changes and reactions to them in schema mappings is to specify actions in response to changes in the mappings.
Q80.
What is the primary motivation for using query rewriting techniques in the context of OBDA?How do succinct query expressions, such as nonrecursive Datalog programs, compare to unions of conjunctive queries (UCQs) in terms of query rewriting speed?
Discuss
Answer: (b).To separate ontology reasoning from data reasoning.They are orders of magnitude faster. Explanation:The primary motivation for using query rewriting techniques in the context of OBDA is to separate ontology reasoning from data reasoning, which can be costly, especially in the presence of Big Data.Recent results have shown that using succinct query expressions, like nonrecursive Datalog programs, can be orders of magnitude faster than approaches that produce unions of conjunctive queries (UCQs) for query rewriting.

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