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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 1 of 11

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Q1.
What is one of the challenges associated with data integration in large enterprises?

a.

Lack of data sources

b.

Rapid integration of systems

c.

Cost and complexity

d.

Small-scale information systems

Discuss
Answer: (c).Cost and complexity Explanation:Data integration in large enterprises is described as a costly and challenging problem.
Q2.
What technology has been primarily used for data integration in the last decade?

a.

XML

b.

Web Services

c.

SOA

d.

All of the above

Discuss
Answer: (d).All of the above Explanation:The prevalent data integration approaches in the last decade were based on XML, Web Services, and SOA.
Q3.
Why are SOA architectures considered less efficient for data integration in large enterprises?

a.

They lack standard syntax for data representation.

b.

They are not suitable for transaction processing.

c.

They have high overheads.

d.

They are too dynamic.

Discuss
Answer: (c).They have high overheads. Explanation:SOA architectures are considered less efficient for data integration due to the high overheads associated with them.
Q4.
What is OpenCorporates?

a.

A spatial knowledge base

b.

A product ontology

c.

A knowledge base containing information about corporations

d.

An enterprise taxonomy

Discuss
Answer: (c).A knowledge base containing information about corporations Explanation:OpenCorporates is described as a knowledge base containing information about more than 50,000 corporations worldwide.
Q5.
Which source provides detailed classifications and information about more than 1 million products?

a.

OpenCorporates

b.

LinkedGeoData

c.

Product Ontology

d.

Enterprise taxonomies

Discuss
Answer: (c).Product Ontology Explanation:Product Ontology comprises detailed classifications and information about more than 1 million products.
Q6.
What is the primary advantage of tapping into freely available, crowd-sourced knowledge from public LOD data sources for enterprises?

a.

It reduces the need for domain databases.

b.

It provides information about enterprise taxonomies.

c.

It offers an opportunity for cost-effective access to vast knowledge.

d.

It complements nonpublic information.

Discuss
Answer: (c).It offers an opportunity for cost-effective access to vast knowledge. Explanation:Tapping into freely available, crowd-sourced knowledge from public LOD data sources offers enterprises cost-effective access to vast knowledge.
Q7.
Why is it crucial for enterprises to assess the quality of freely available knowledge from public LOD data sources?

a.

To avoid the use of enterprise taxonomies

b.

To actively manage the life cycle of data

c.

To reduce the need for domain databases

d.

To eliminate nonpublic information

Discuss
Answer: (b).To actively manage the life cycle of data Explanation:Assessing the quality of freely available knowledge is crucial for enterprises to actively manage the life cycle of data.
Q8.
How can the Linked Data approach benefit large enterprises in the service economy?

a.

It reduces the need for IT infrastructure.

b.

It accelerates mergers and acquisitions.

c.

It facilitates digital innovation capabilities.

d.

It eliminates the need for enterprise taxonomies.

Discuss
Answer: (c).It facilitates digital innovation capabilities. Explanation:The Linked Data approach can facilitate the digital innovation capabilities of large enterprises in the service economy.
Q9.
What is the primary result of employing the Linked Data paradigm to address data integration challenges in large enterprises?

a.

Creation of Big Data intranets

b.

Reduction of data sources

c.

Simplification of data schemas

d.

Elimination of semantic heterogeneity

Discuss
Answer: (a).Creation of Big Data intranets Explanation:Employing the Linked Data paradigm can result in the creation of Big Data intranets in large enterprises.
Q10.
What is a characteristic of data sources in a Big Data intranet?

a.

They are all Big Data sets.

b.

They are primarily large data sets.

c.

They are mainly small- or medium-sized data and knowledge bases.

d.

They are limited to internal data sources.

Discuss
Answer: (c).They are mainly small- or medium-sized data and knowledge bases. Explanation:Data sources in a Big Data intranet are mainly small- or medium-sized data and knowledge bases.
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