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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 3 of 11

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Q21.
What is the key benefit of employing the Linked Data approach for data integration in large enterprises?
Discuss
Answer: (a).Reduced data integration costs Explanation:The key benefit of employing the Linked Data approach for data integration in large enterprises is reduced data integration costs.
Discuss
Answer: (b).Wikis that allow users to add semantic annotations to text Explanation:Semantic text wikis allow users to add semantic annotations to text, making the information machine-accessible, which is relevant to enterprise data integration.
Discuss
Answer: (a).Training users to create semantically enriched information Explanation:One challenge associated with deploying data wikis in large enterprises is training users to create semantically enriched information.
Discuss
Answer: (c).It provides users with a more logical editing workflow. Explanation:Developing a choreography of authoring widgets in a semantic wiki provides users with a more logical editing workflow, helping them create quality knowledge bases.
Discuss
Answer: (c).To keep imported data in synchronization with the original source. Explanation:Developing mechanisms for syndication and synchronization in semantic wikis is important to keep imported data in synchronization with the original source.
Discuss
Answer: (b).Developing scalable access control mechanisms Explanation:The challenge associated with access control in semantic representations is developing scalable access control mechanisms aligned with enterprise policies while safeguarding against ontology hijacking.
Discuss
Answer: (b).Internet technologies provide more comfortable environments. Explanation:Internet users are often spoiled by modern technologies that provide comfortable environments, precise search results, and other features, whereas most enterprise intranets use older technologies.
Q28.
What is the primary challenge in implementing search systems based on a Linked Data approach for enterprise intranets?
Discuss
Answer: (c).Bootstrapping an initial set of high-quality RDF datasources Explanation:The primary challenge in implementing search systems based on a Linked Data approach for enterprise intranets is bootstrapping an initial set of high-quality RDF datasources.
Discuss
Answer: (c).It improves the user experience by providing relevant search results. Explanation:Automatically creating high-quality links between documents and terms in an enterprise intranet improves the user experience by providing relevant search results.
Q30.
Why is it important to develop methods for improving the performance of search engines that query RDF data directly in an enterprise?
Discuss
Answer: (c).To match the performance of traditional search engines Explanation:It is important to develop methods for improving the performance of search engines that query RDF data directly in an enterprise to match the performance of traditional search engines while keeping the advantages of using SPARQL directly.

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