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Welcome to the Linked Data in Enterprise Integration MCQs Page

Dive deep into the fascinating world of Linked Data in Enterprise Integration with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Linked Data in Enterprise Integration, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Linked Data in Enterprise Integration, 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 Linked Data in Enterprise Integration. 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 Linked Data in Enterprise Integration. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Linked Data in Enterprise Integration MCQs | Page 2 of 11

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Discuss
Answer: (d).To handle the velocity of data evolution Explanation:Time efficiency is important in linking data within Big Data intranets to handle the velocity of data evolution.
Discuss
Answer: (c).By integrating and linking with relevant data sets from the Linked Open Data Web Explanation:Existing enterprise taxonomies can be transformed into comprehensive EKBs by integrating and linking them with relevant data sets from the Linked Open Data Web.
Q13.
In large enterprises, why is the management of enterprise taxonomies a challenge?
Discuss
Answer: (d).Employees use multiple dictionaries. Explanation:The main challenge in the area of enterprise taxonomies in large enterprises is defragmentation of term definitions without centralization of taxonomy management, as employees may use multiple dictionaries.
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Answer: (d).By representing enterprise taxonomies in RDF and publishing term definitions via the Linked Data principles Explanation:The proposed solution for addressing the challenge of enterprise taxonomies in large enterprises is to represent them in RDF and publish term definitions via the Linked Data principles.
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Answer: (d).Establishing XML schema repositories Explanation:The challenge associated with XML schema governance in large enterprises is the process of creating and maintaining XML schema repositories.
Discuss
Answer: (b).XML schema identification and representation in RDF Explanation:To establish an XML schema repository in large enterprises, XML schema identification and representation in RDF is required.
Discuss
Answer: (b).Establishing semantic relationships between schemas Explanation:The development of an ontology for XML schemas addresses the challenge of establishing semantic relationships between schemas.
Q18.
In the context of data integration in large enterprises, what does SOA stand for?
Discuss
Answer: (a).Service-Oriented Architecture Explanation:In the context of data integration in large enterprises, SOA stands for Service-Oriented Architecture.
Q19.
What challenges are associated with large enterprises using XML for data integration?
Discuss
Answer: (d).All of the above Explanation:The challenges associated with large enterprises using XML for data integration include XML schema standardization, identifying XML schema resources and entities, and managing XML schema evolution.
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Answer: (c).By establishing an ontology for XML schemas Explanation:The proliferation of XML schemas in large enterprises can be managed by establishing an ontology for XML schemas, allowing for semantic relationships and better organization.

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