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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 42 of 43

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Q411.
What are some key reasons for choosing OpenQM?

a.

Real-time data manipulation

b.

Efficient index-based query processing

c.

Speed, security, and reliability

d.

Schema evolution support

Discuss
Answer: (c).Speed, security, and reliability Explanation:OpenQM is chosen for its speed, security, and reliability, along with its ability to easily build excellent GUI interfaces into the database.
Q412.
In which types of applications is Couchbase particularly suggested due to its low latency and fast response time?

a.

Scientific research and data analysis

b.

Gaming online and social networks

c.

Healthcare and medical analysis

d.

Financial services and electronic health records management

Discuss
Answer: (b).Gaming online and social networks Explanation:Couchbase is particularly suggested for applications in gaming online and social networks, where low latency and fast response time are crucial.
Q413.
What is the main advantage of Hadoop?

a.

Low latency

b.

Fault tolerance

c.

Fast trend spotting in huge data sets

d.

Simplicity in indexing code

Discuss
Answer: (c).Fast trend spotting in huge data sets Explanation:The main advantage of Hadoop is its ability to analyze huge data sets to quickly spot trends.
Q414.
How does Hadoop handle fault tolerance?

a.

Through complex indexing code

b.

By using Google MapReduce

c.

By simplifying data analysis

d.

Through parallelization of data processing

Discuss
Answer: (b).By using Google MapReduce Explanation:Hadoop handles fault tolerance by using Google MapReduce, which simplifies indexing code, guarantees fault tolerance, and enables parallelization.
Q415.
For which type of applications is Hive excellent, especially due to its ability to create ad-hoc queries using SQL-like jargon?

a.

Scientific research and data analysis

b.

Healthcare and medical analysis

c.

Data warehousing and large data set analysis

d.

Gaming online and social media marketing

Discuss
Answer: (d).Gaming online and social media marketing Explanation:Hive is excellent for the analysis of large data sets, especially in social media marketing and web application business, due to its ability to create ad-hoc queries using SQL-like jargon.
Q416.
In which types of applications is MongoDB typically used due to its ability to handle insertion, updating in real-time, and real-time query processing?

a.

Scientific research and data analysis

b.

Gaming environment and social marketing

c.

Healthcare and medical applications

d.

Business and financial services

Discuss
Answer: (b).Gaming environment and social marketing Explanation:MongoDB is typically used in the gaming environment and social marketing fields due to its ability to handle insertion, updating in real-time, and real-time query processing.
Q417.
How does MongoDB allow users to define the consistency level for their operations?

a.

By using a mapping function

b.

By waiting until data is replicated to all nodes

c.

By using a type-safe query language

d.

By storing data schema in memory

Discuss
Answer: (b).By waiting until data is replicated to all nodes Explanation:MongoDB allows users to define the consistency level by waiting until the new element has been replicated to all nodes, which is directly related to achievable performance.
Q418.
What advantage does Db4o have over traditional database systems in terms of data schema?

a.

It uses a complex mapping function

b.

It stores data schema on disk

c.

It doesn't require a mapping function as the application schema matches the data schema

d.

It relies on code injection for query execution

Discuss
Answer: (c).It doesn't require a mapping function as the application schema matches the data schema Explanation:Db4o doesn't require a mapping function because the application schema corresponds with the data schema, which results in better performance and a good user experience.
Q419.
For which types of applications is Db4o particularly suitable due to its support for the Complex Event Processing (CEP) paradigm?

a.

Gaming environment and social marketing

b.

Scientific research and data analysis

c.

Healthcare and medical applications

d.

Business and financial services

Discuss
Answer: (b).Scientific research and data analysis Explanation:Db4o is particularly suitable for applications involving scientific research, analysis of financial data, and real-time data streams due to its support for the Complex Event Processing (CEP) paradigm.
Q420.
How does Db4o enhance security in database access?

a.

By using a complex mapping function

b.

By storing data schema in memory

c.

By implementing type safety to prevent code injection

d.

By relying on external firewalls and encryption

Discuss
Answer: (c).By implementing type safety to prevent code injection Explanation:Db4o enhances security in database access by implementing type safety, which prevents code injection.
Page 42 of 43

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