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Hadoop Interview Questions

by Cloudy Tech Tech Guy
Want to clear Big Data Hadoop job interview on the first attempt? Check out these top 60 Hadoop interview questions and answers for freshers and professionals.
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List of Hadoop interview questions:

1. What is big data? Explain the characteristics of big data.
2. What are the main components of the Hadoop ecosystem?
3. Explain the architecture of Hadoop.
4. What is the underlying architecture of the Hadoop cluster?
5. Explain the difference between single-node and multi-node Hadoop clusters.
6. State some differences between a relational database and Hadoop.
7. Describe the structure of HDFS and how it works.
8. What is the difference between copyToLocal and copyFromLocal commands?
9. Why does HDFS store data using commodity hardware?
10. Since Hadoop contains massive datasets, how can you ensure that the data is secure?
11. Which Hadoop version introduced YARN? How was resource management done before that?
12. What are the components of YARN?
13. Explain the benefits of YARN.
14. What is Hbase? What are the benefits of Hbase?
15. Where does Hbase dump all the data before performing the final write?
16. Explain how the Hadoop system stores the data.
17. Write simple Hbase commands to import the contents of a file into an Hbase table.
18. How does MapReduce work?
19. What are the components of a MapReduce job?
20. What are counters in MapReduce? What are their types?
21. What does the ResourceManager include?
22. What is the purpose of a distributed cache?
23. Explain how word count is done using the MapReduce algorithm.
24. How can you improve the efficiency of the MapReduce algorithm?
25. What is Mahout? How does it help in MapReduce algorithms?
26. Is it possible to write MapReduce programs in a language other than Java?
27. What is Hive Query Language (HiveQL)? Give some examples.
28. How to create partitions in Hive?
29. What are the differences between static and dynamic partitioning?
30. How do you handle the situation where partitioning is not possible?

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Created on Dec 20th 2021 04:26. Viewed 478 times.

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