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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.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Scalable End User Access to Big Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Scalable End User Access to Big Data MCQs | Page 4 of 14

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Discuss
Answer: (c).Usability for non-technical users with the option for technical editing Explanation:The proposed architecture aims to provide usability for non-technical users with the option for technical editing when needed.
Discuss
Answer: (b).Difficulty in extending the ontology during query formulation Explanation:One of the challenges is the difficulty in extending the ontology during query formulation.
Q33.
How can an initial ontology and mappings be derived in new deployments of OBDA systems?
Discuss
Answer: (d).Semiautomatically Explanation:An initial ontology and mappings can be derived semiautomatically in new deployments.
Q34.
What is the role of the Ontology and Mapping Management component in the architecture?
Discuss
Answer: (b).Maintaining a consistent set of mappings Explanation:The Ontology and Mapping Management component supports maintaining a consistent set of mappings.
Discuss
Answer: (d).To guarantee efficient query rewriting and execution Explanation:There is a trade-off between expressivity and efficiency to ensure efficient query rewriting and execution.
Discuss
Answer: (c).By carefully choosing a restricted set of features for ontology and mapping languages Explanation:The expressivity problem can be resolved by choosing a restricted set of features for ontology and mapping languages.
Q37.
What are vital features that need to be built into the core of any OBDA system?
Discuss
Answer: (c).Stream processing and spatial proximity Explanation:Stream processing and spatial proximity are vital features in many industrial applications.
Q38.
Which domain often requires integration into the OBDA framework due to its relevance in many applications?
Discuss
Answer: (b).Geospatial information Explanation:Geospatial information, including spatial proximity and containment, is relevant in many applications and can be integrated into the OBDA framework.
Discuss
Answer: (b).Decomposing the query answering component into several layers Explanation:Efficiency can be addressed by decomposing the query answering component into layers.
Q40.
Which layer in the proposed query answering stack focuses on distributing queries to individual servers?
Discuss
Answer: (b).Query Planning Explanation:The Query Planning layer focuses on distributing queries to individual servers.

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