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Welcome to the Economics of Big Data MCQs Page

Dive deep into the fascinating world of Economics of Big Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Economics of 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 Economics of 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 Economics of 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 Economics of Big Data. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Economics of Big Data MCQs | Page 5 of 6

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Q41.
How can metadata be used in the bundling process?

a.

To collect behavioral data

b.

To improve user privacy

c.

To create domain ontologies

d.

To provide customized access to content

Discuss
Answer: (d).To provide customized access to content Explanation:Metadata can be used in the bundling process to provide customized access to content.
Q42.
What is a potential drawback of excessive collection and reuse of behavioral data?

a.

Improved user privacy

b.

Enhanced user experience

c.

Adverse effects among targeted users

d.

Better content selection

Discuss
Answer: (c).Adverse effects among targeted users Explanation:Excessive collection and reuse of behavioral data can cause adverse effects among the targeted users.
Q43.
What is a significant barrier to the deployment of Linked Data techniques in the area of content personalization?

a.

Lack of user preferences

b.

Excessive metadata usage

c.

Availability and costs of qualitatively sufficient ontologies

d.

Privacy concerns

Discuss
Answer: (c).Availability and costs of qualitatively sufficient ontologies Explanation:The availability and costs of qualitatively sufficient ontologies are a significant barrier to the deployment of Linked Data techniques in the area of content personalization.
Q44.
What is the main focus of the content distribution process in a Linked Data environment?

a.

Providing machine-readable and semantically interoperable (met

b.

Collecting user feedback

c.

Enhancing privacy protection

d.

Improving content bundling

Discuss
Answer: (a).Providing machine-readable and semantically interoperable (met Explanation:The main focus of the content distribution process in a Linked Data environment is providing machine-readable and semantically interoperable (meta)data.
Q45.
How can companies offer data as Linked Data for external purposes?

a.

By serving data within controlled environments

b.

By using SOAP and REST requests

c.

By providing public SPARQL Endpoints on the Web

d.

By offering data in RDF

Discuss
Answer: (c).By providing public SPARQL Endpoints on the Web Explanation:Companies can offer data as Linked Data for external purposes by providing public SPARQL Endpoints on the Web.
Q46.
What is one of the barriers to companies embracing the logic and culture of open publishing for data assets?

a.

Lack of available technologies

b.

Chicken-and-egg problem

c.

Overwhelming demand for data

d.

Inadequate licensing strategies

Discuss
Answer: (b).Chicken-and-egg problem Explanation:One of the barriers to companies embracing the logic and culture of open publishing for data assets is the chicken-and-egg problem.
Q47.
What might diversification of the licensing strategy foster within networked environments?

a.

Increased data privacy

b.

Reduced competition strategy

c.

New business and revenue opportunities

d.

Decreased data availability

Discuss
Answer: (c).New business and revenue opportunities Explanation:Diversification of the licensing strategy might foster new business and revenue opportunities within networked environments.
Q48.
What does the last step in the content value chain, content consumption, mainly involve?

a.

Collecting data

b.

Storing data

c.

Providing access to content items

d.

Generating content

Discuss
Answer: (c).Providing access to content items Explanation:The last step in the content value chain, content consumption, mainly involves providing access to content items.
Q49.
What is the primary purpose of end-user applications that make use of Linked Data in the context of content consumption?

a.

Collecting data

b.

Storing data

c.

Generating content

d.

Providing access to content items and generating deeper insights

Discuss
Answer: (d).Providing access to content items and generating deeper insights Explanation:The primary purpose of end-user applications that make use of Linked Data in the context of content consumption is providing access to content items (via search or recommendation engines) and generating deeper insights.
Q50.
What is one of the challenges associated with the visualization and interaction of Linked Data?

a.

Lack of available tools and applications

b.

Lack of Linked Data sources

c.

Overwhelming demand for visualization

d.

Most efforts are still in an experimental phase

Discuss
Answer: (d).Most efforts are still in an experimental phase Explanation:One of the challenges associated with the visualization and interaction of Linked Data is that most efforts are still in an experimental phase.
Page 5 of 6

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