Big Data

Online Big Data MCQs 5

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The post is about Online Big Data MCQs with Answers. There are 20 multiple-choice questions about Big Data 5’s, IaaS, Paas, NameNode, HDFS, Map Reduce, Hadoop, Apache Spark, and YARN. Let us start with the Online Big Data MCQs with Answers now.

Online Big Data MCQs with Answers

Online Big Data MCQs with Answers

1. What is the benefit of using pre-built Hadoop images?

 
 
 
 

2. Which tool is used for real-time data streaming in Big Data?

 
 
 
 

3. What is the primary characteristic of Big Data that refers to the scale of data?

 
 
 
 

4. Which of the following are Hadoop’s major goals?

 
 
 
 
 
 

5. Which of the following are problems to look out for when integrating your project with Hadoop?

 
 
 
 
 

6. What is the job of the NameNode?

 
 
 

7. What is the purpose of data preprocessing in Big Data analytics?

 
 
 
 

8. What is the difference between low-level interfaces and high-level interfaces?

 
 

9. What are the two key components of HDFS and what are they used for?

 
 
 

10. What is the order of the three steps to Map Reduce?

 
 
 
 

11. What is the purpose of YARN?

 
 
 

12. What are some examples of open-source tools built for Hadoop and what does it do?

 
 
 
 

13. What does the term “Velocity” in Big Data refer to?

 
 
 
 

14. What are the two main components of a data computation framework that were described in the slides?

 
 
 
 
 

15. What does PaaS provide?

 
 
 

16. Which of the following is a distributed file storage system used in Big Data?

 
 
 
 

17. Which of the following is NOT one of the 5 Vs of Big Data?

 
 
 
 

18. What is Apache Spark primarily used for in Big Data?

 
 
 
 

19. What does SaaS provide?

 
 
 

20. What does IaaS provide?

 
 
 

Online Big Data MCQs with Answers

  • What does IaaS provide?
  • What does PaaS provide?
  • What does SaaS provide?
  • What are the two key components of HDFS and what are they used for?
  • What is the job of the NameNode?
  • What is the order of the three steps to Map Reduce?
  • What is the benefit of using pre-built Hadoop images?
  • What are some examples of open-source tools built for Hadoop and what does it do?
  • What is the difference between low-level interfaces and high-level interfaces?
  • Which of the following are problems to look out for when integrating your project with Hadoop?
  • Which of the following are Hadoop’s major goals?
  • What is the purpose of YARN?
  • What are the two main components of a data computation framework that were described in the slides?
  • What is the primary characteristic of Big Data that refers to the scale of data?
  • Which of the following is NOT one of the 5 Vs of Big Data?
  • What does the term “Velocity” in Big Data refer to?
  • Which of the following is a distributed file storage system used in Big Data?
  • What is Apache Spark primarily used for in Big Data?
  • Which tool is used for real-time data streaming in Big Data?
  • What is the purpose of data preprocessing in Big Data analytics?

MS Excel Quiz Questions

MCQs Big Data Quiz 4

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Looking to test your Big Data knowledge? Check out these top MCQs Big Data Quiz Questions and Answers for 2025! Perfect for students, professionals, and enthusiasts to assess their understanding of key concepts like Hadoop, Spark, and the 5 Vs and 5 Ps of Big Data. Let us Start the MCQs Big Data Quiz Questions now.

Online MCQs Big Data Quiz with Answers
Please go to MCQs Big Data Quiz 4 to view the test

Online MCQs Big Data Quiz with Answers

  • Which of the following are reasons mentioned for why data generated by people are hard to process?
  • What is the purpose of retrieval and storage; pre-processing; and analysis to convert multiple data sources into valuable data?
  • Which of the following are the benefits of organization-generated data?
  • What are data silos and why are they bad?
  • Which of the following are the benefits of data integration?
  • Which of the following are parts of the 5 P’s of data science and what is the additional P introduced in the slides?
  • Which of the following are part of the four main categories to acquire, access, and retrieve data?
  • Of the following, which is a technique mentioned in the videos for building a model?
  • What is the first step in finding the right problem to tackle in data science?
  • What is the first step in determining a big data strategy?
  • According to Ilkay, why is exploring data crucial to better modeling? Data exploration…
  • What are the ways to address data quality issues?
  • What is done to the data in the preparation stage?
  • Which of the following is the best description of why it is important to learn about the foundations of big data?
  • What is the benefit of a commodity cluster?
  • What is a way to enable fault tolerance?
  • Which of the following are general requirements for a programming language to support big data models?
  • Which of the following is a major challenge in Big Data?
  • Which of the following is an example of Big Data in social media?
  • How is Big Data used in healthcare?

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Big Data MCQS Questions 3

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Looking to test your Big Data knowledge? Check out these top Big Data MCQs Questions and Answers for 2025! Perfect for students, professionals, and enthusiasts to assess their understanding of key concepts like Hadoop, Spark, and the 5 Vs of Big Data. Let us Start the Big Data MCQs Questions Quiz now.

Online Big Data MCQs Questions Quiz with Answers
Please go to Big Data MCQS Questions 3 to view the test

Big Data MCQs Questions with Answers

  • Which is NOT one of the three V’s of Big Data?
  • Which one of the following is an example of structured data?
  • What is the reason behind the explosion of interest in big data?
  • Which of the following is an example of big data utilized in action today?
  • What reasoning was given for the following: why is the “data storage to price ratio” relevant to big data?
  • What is the best description of personalized marketing enabled by big data?
  • Of the following, which are some examples of personalized marketing related to big data?
  • What is the workflow for working with big data?
  • Which is the most compelling reason mobile advertising relates to big data?
  • What are the three types of diverse data sources?
  • What is an example of machine data?
  • What is an example of organizational data?
  • Of the three data sources, which is the hardest to implement and streamline into a model?
  • Which of the following summarizes the process of using data streams?
  • Where does the real value of big data often come from?
  • What does it mean for a device to be “smart”?
  • What does the term “in situ” mean in the context of big data?
  • What are the steps required for data analysis?
  • What are the specific benefit(s) to a distributed file system?
  • Why is data science mainly about teamwork?

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