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Welcome to the Semantic Data Interoperability MCQs Page

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

Semantic Data Interoperability MCQs | Page 2 of 9

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Q11.
How can the data heterogeneity issue of Big Data be addressed?

a.

By using a single technology solution

b.

By combining different technologies

c.

By increasing data volume

d.

By simplifying data sources

Discuss
Answer: (b).By combining different technologies Explanation:The data heterogeneity issue of Big Data can be addressed by combining different technologies.
Q12.
What is one possible approach to solving the semantic data interoperability problem of Big Data?

a.

Using only semantic technologies

b.

Using only Web services technologies

c.

Combining semantic technologies with Web services technologies

d.

Using formal languages like SQL

Discuss
Answer: (c).Combining semantic technologies with Web services technologies Explanation:One possible approach to solving the semantic data interoperability problem of Big Data is to combine semantic technologies with Web services technologies.
Q13.
How are ontologies used to address the semantic data interoperability problem in Big Data?

a.

They provide machine-readable meta-data.

b.

They embed meta-data into the code.

c.

They simplify data integration.

d.

They handle networking complexity.

Discuss
Answer: (a).They provide machine-readable meta-data. Explanation:Ontologies are used to provide machine-readable meta-data in order to address the semantic data interoperability problem in Big Data.
Q14.
What is the advantage of semantic enrichment of data in the context of Big Data?

a.

It simplifies data integration.

b.

It embeds meta-data into the code.

c.

It is dependent on the system using the data.

d.

It provides machine-interpretable meta-data linked to the data.

Discuss
Answer: (d).It provides machine-interpretable meta-data linked to the data. Explanation:The advantage of semantic enrichment of data in the context of Big Data is that it provides machine-interpretable meta-data linked to the data, independent of the system using the data.
Q15.
What standards are used for data transfer in the X-Road platform?

a.

HTTP and XML

b.

SOAP and WSDL

c.

JSON and REST

d.

FTP and CSV

Discuss
Answer: (b).SOAP and WSDL Explanation:SOAP and WSDL are used for data transfer in the X-Road platform.
Q16.
What is the role of adapter servers in the X-Road platform?

a.

They perform security processes for data transfer.

b.

They convert X-road queries into SQL queries.

c.

They connect to security gateways.

d.

They transform query results into service responses.

Discuss
Answer: (d).They transform query results into service responses. Explanation:The role of adapter servers in the X-Road platform is to convert an X-road query into a query acceptable by the data server of a particular information system and transform the results back into service responses.
Q17.
What is the primary role of the X-Road middleware platform in Estonian e-government?

a.

Data storage

b.

Secure data transfer between governmental IS data sources

c.

Data analysis

d.

Web development

Discuss
Answer: (b).Secure data transfer between governmental IS data sources Explanation:The primary role of the X-Road middleware platform in Estonian e-government is to provide secure data transfer between governmental IS data sources.
Q18.
How many e-government data services are registered and run on X-road?

a.

About 600

b.

About 150

c.

About 240 million

d.

About 1500

Discuss
Answer: (d).About 1500 Explanation:About 1500 e-government data services are registered and run on X-road.
Q19.
How many organizations have connected their data sources via X-road middleware?

a.

About 600 organizations

b.

About 150 organizations

c.

About 240 million organizations

d.

About 1500 organizations

Discuss
Answer: (a).About 600 organizations Explanation:Data sources of more than about 600 organizations are connected via X-road middleware.
Q20.
What is the estimated number of requests handled by X-road in 2011, as per the statistics provided by the Administration System for the State Information System?

a.

226

b.

1500

c.

240 million

d.

150

Discuss
Answer: (c).240 million Explanation:The estimated number of requests handled by X-road in 2011 was 240 million.
Page 2 of 9

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