Online Big Data MCQs 5

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 difference between low-level interfaces and high-level interfaces?

 
 

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

 
 
 
 

3. What does PaaS provide?

 
 
 

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

 
 
 
 

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

 
 
 
 

6. What does IaaS provide?

 
 
 

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

 
 
 
 

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

 
 
 
 
 
 

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

 
 
 
 

10. What is the purpose of YARN?

 
 
 

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

 
 
 
 
 

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

 
 
 
 

13. What is the job of the NameNode?

 
 
 

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

 
 
 
 

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

 
 
 

16. What does SaaS provide?

 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 
 

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

 
 
 
 

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?

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