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Welcome to the Introduction to Big Data MCQs Page

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

Introduction to Big Data MCQs | Page 41 of 43

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Q401.
Which products are among the most flexible and adaptable to different situations and contexts of applications?

a.

MonetDB and MongoDB

b.

Hadoop and HBase

c.

Couchbase and eXist

d.

Hive and Objectivity

Discuss
Answer: (a).MonetDB and MongoDB Explanation:MonetDB and MongoDB are among the most flexible and adaptable products to different situations and application contexts.
Q402.
Which technology is successfully used in the field of social media Internet services and social media marketing for managing large volumes of messages and chats?

a.

Hadoop

b.

HBase

c.

RDF-3X

d.

MonetDB

Discuss
Answer: (b).HBase Explanation:HBase is successfully used in the field of social media Internet services and social media marketing for managing large volumes of messages and chats.
Q403.
What advantage does RDF-3X provide in handling small data?

a.

Highly compressed indices

b.

Real-time updates

c.

Elasticity and fault tolerance

d.

Column store storage model

Discuss
Answer: (a).Highly compressed indices Explanation:RDF-3X provides an advantage in handling small data by using highly compressed indices for all permutations of triples and their binary and unary projections.
Q404.
In which field is MonetDB primarily used for managing a large amount of images?

a.

Social media marketing

b.

Scientific research and data analysis

c.

Earth observations

d.

3D visualization

Discuss
Answer: (b).Scientific research and data analysis Explanation:MonetDB is primarily used in the field of scientific research and data analysis for managing a large amount of images.
Q405.
What is one of the key advantages of HDT in data compaction?

a.

Storing space efficiency

b.

3D visualization of RDF Graph

c.

Automatic query optimization

d.

Elasticity and fault tolerance

Discuss
Answer: (a).Storing space efficiency Explanation:One of the key advantages of HDT is its ability to improve data compaction, using much less storage space, thus saving storing space and communication bandwidth.
Q406.
In which contexts is RDF-HDT especially suited?

a.

Social media marketing

b.

Scientific research and data analysis

c.

Earth observations

d.

Web data sharing and data analysis

Discuss
Answer: (d).Web data sharing and data analysis Explanation:RDF-HDT is especially suited for web data sharing and data analysis contexts, thanks to its compactness and compression capabilities.
Q407.
What is one of the key advantages of eXist's query engine in scientific and academic research applications?

a.

Hardware parallelism

b.

Efficient index-based query processing

c.

Schema evolution support

d.

Real-time data manipulation

Discuss
Answer: (b).Efficient index-based query processing Explanation:eXist's query engine implements efficient index-based query processing, making it suitable for scientific and academic research applications.
Q408.
In which applications is ArrayDBMS often used, especially in combination with complex queries?

a.

Healthcare and financial services

b.

Geology, oceanography, atmospheric sciences

c.

Real-time data manipulation

d.

Electronic health records management

Discuss
Answer: (b).Geology, oceanography, atmospheric sciences Explanation:ArrayDBMS is often used in applications related to geology, oceanography, atmospheric sciences, gene data, and more, especially in combination with complex queries.
Q409.
What advantage does Objectivity/DB provide over other technologies?

a.

Hardware parallelism

b.

Schema evolution support

c.

Real-time data manipulation

d.

Electronic health records management

Discuss
Answer: (b).Schema evolution support Explanation:Objectivity/DB provides an advantage over other technologies by offering schema evolution support, making it suitable for applications that require changes or updates to the data structure.
Q410.
In which fields are Objectivity/DB primarily used due to its features like reliability and real-time data management?

a.

Geology and oceanography

b.

Electronic health records management

c.

Healthcare and financial services

d.

Atmospheric sciences and gene data

Discuss
Answer: (c).Healthcare and financial services Explanation:Objectivity/DB is primarily used in healthcare and financial services due to its features like reliability and real-time data management.
Page 41 of 43

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