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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 3 of 14

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Discuss
Answer: (c).Ontology-Based Data Access Explanation:OBDA stands for Ontology-Based Data Access.
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Answer: (d).It provides a flexible query language based on end-user conceptualization. Explanation:OBDA offers a flexible query language that corresponds to the end-user's conceptualization of the data.
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Answer: (a).It hides details and introduces abstractions. Explanation:The ontology in OBDA can be used to hide details and introduce abstractions for end-users.
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Answer: (c).By providing mappings between ontology terms and data representations Explanation:OBDA makes the relationship between ontology concepts and relational data explicit through mappings.
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Answer: (d).It captures relationships between terms and allows intelligent query rewriting. Explanation:An ontology captures relationships between terms and enables intelligent query rewriting.
Q26.
What does the term "GAV" stand for in the context of OBDA mappings?
Discuss
Answer: (b).Global as View Explanation:GAV stands for Global as View in the context of OBDA mappings.
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Answer: (c).By defining mappings that specify how ontology terms correspond to database queries Explanation:Mappings are used to specify how ontology terms correspond to database queries, connecting the ontology vocabulary with the database schema.
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Answer: (b).Ontology and mappings Explanation:Ontology and mappings are prerequisites for OBDA technology.
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Answer: (d).To ensure non-technical users can formulate queries easily Explanation:End-user acceptance is important to ensure that non-technical users can easily formulate queries.
Q30.
What feature is proposed to improve usability for non-technical users in OBDA systems?
Discuss
Answer: (b).Navigational view Explanation:A navigational view is proposed to improve usability for non-technical users in OBDA systems.

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