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Big Data & Analytics NASSCOM Certification Practice Test
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Big Data & Analytics NASSCOM Certification Practice Test
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23 Questions

1. Which were the earliest technologies developed for Big Data?
2. Which of the following is an example of MongoDB query?
3. Which were the earliest technologies developed for Big Data?
4. Which is not the step included in the Data Scientist’s work?
5. Which open source Hadoop technology is used for both data flow & Machine Learning tasks?
6. Pivotal, Action, Teradata, etc. are the leading Big Data platform providers which are used by industries instead of implementing the infrastructure by themselves. True or False?
7. Which all industries from given options can be case studies for Big Data?
8. Select True statement from below statements:
9. Which of the following is not a component of Big Data Pipeline?
10. Which is not the step included in the Data Scientist’s work?
11. Which Hadoop technology is used for 1) scheduling tasks, 2) managing coordination between master and slave nodes?
12. Difference/Similarity between Traditional Grid Computing & Big Data Grid Computing?
13. Select True statement from below statements:
14. Which all industries from given options can be case studies for Big Data?
15. Which Hadoop technology is used for 1) scheduling tasks, 2) managing coordination between master and slave nodes?
16. What all are examples of automation used for Data Ingestion using AI?
17. Which of the following is correct for CAP theorem?
18. Which open source Hadoop technology is used for both data flow & Machine Learning tasks?
19. What are the advantages of Data Lake on Data Warehouse?
20. What are the database characteristics required?
21. What are the key highlights of Big Data Business Model Maturity Index?
22. Which of the following stand for Hadoop 1.x Vs. Hadoop 2.x?
23. What is the alternative to Map-Reduce in Hadoop Ecosystem?