Hadoop interview questions?

  1. What is Hadoop, and what are its key components?
  2. Explain the Hadoop Distributed File System (HDFS) architecture.
  3. What is MapReduce, and how does it work in Hadoop?
  4. What are the differences between Hadoop 1.x and Hadoop 2.x (YARN)?
  5. How do you install and configure Hadoop on a cluster?
  6. What is the purpose of Hadoop streaming?
  7. How does Hadoop ensure fault tolerance?
  8. Explain the role of NameNode and DataNode in HDFS.
  9. What are the different schedulers available in Hadoop YARN?
  10. What is the purpose of Hadoop ecosystem components like Hive, Pig, and HBase?
  11. How do you handle unstructured data in Hadoop?
  12. Explain the concept of Hadoop ecosystem federation.
  13. How does Hadoop handle data locality optimization?
  14. What are the differences between Apache Hadoop and Cloudera Distribution of Hadoop (CDH)?
  15. How do you secure a Hadoop cluster?
  16. What is speculative execution in Hadoop? How does it work?
  17. Explain the concept of block size in Hadoop.
  18. What are the advantages and limitations of Hadoop?
  19. How do you monitor and troubleshoot a Hadoop cluster?
  20. What are some common use cases for Hadoop in big data analytics?

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