Hadoop Interview Questions For Freshers
  1. What is a NameNode and what is its role in HDFS?
  2. What is a DataNode and what is its role in HDFS?
  3. What is a Block in HDFS and what is its default size?
  4. What is MapReduce and how does it work in Hadoop?
  5. What is a JobTracker in Hadoop and what is its role?
  6. What is a TaskTracker in Hadoop and what is its role?
  7. What is the difference between a NameNode and a Secondary NameNode?
  8. What are the different components of Hadoop?
  9. What is the use of Hadoop streaming?
  10. What is the difference between InputSplit and Block in Hadoop?
  11. What is the role of the Combiner in MapReduce?
  12. What is the role of the Partitioner in MapReduce?
  13. What is Hadoop's default port numbers for the NameNode and JobTracker?
  14. What is Hadoop's configuration file and what is its role?
  15. How do you monitor Hadoop?
  16. What is the role of the Rack Awareness feature in Hadoop?
  17. What are the benefits of using Hadoop?
  18. What is the difference between Hadoop 1 and Hadoop 2?
  19. What is a SequenceFile in Hadoop?
  20. What is the role of the Hadoop Fair Scheduler?
  21. What is the use of Hadoop archives?
  22. What is the role of the Hadoop Credential Provider API?
  23. What is the use of the Hadoop Distributed Cache?
  24. What is the role of the Hadoop Security framework?
  25. How does Hadoop differ from traditional database systems like Oracle and MySQL?
  26. What is the Hadoop ecosystem and how does it relate to Hadoop?
  27. Can you explain the different types of Hadoop clusters and how they work?
  28. What is the difference between structured and unstructured data and how is Hadoop useful for processing both?
  29. How does Hadoop store data and what are the different storage formats available in Hadoop?
  30. What are the different Hadoop distributions available and how do they differ from each other?
  31. What is the role of Hadoop streaming in processing data in Hadoop?
  32. How do you handle errors and failures in Hadoop? Can you explain the fault tolerance mechanisms in Hadoop?
  33. What is the role of Hadoop ZooKeeper and how does it work?
  34. How do you implement data security in Hadoop?
Hadoop Intermediate Interview Questions
  1. What is the difference between a Local File System and HDFS?
  2. What is a NameNode Federation and what is its use?
  3. What is Hadoop YARN and how does it work?
  4. What is a Container in Hadoop YARN and what is its role?
  5. What is the difference between a Hadoop job and a Hadoop task?
  6. What is a MapReduce Combiner and what is its use?
  7. What is the role of the Job History Server in Hadoop?
  8. What is the Hadoop RPC Protocol and what is its role?
  9. What is the use of the Hadoop Crypto module?
  10. What is Hadoop's speculative execution and how does it work?
  11. What is the role of the Hadoop Trash feature?
  12. What is the use of Hadoop InputFormat and OutputFormat?
  13. What is the Hadoop archive format and what is its use?
  14. What is the Hadoop Distributed File System Federation (HDFS Federation)?
  15. What is the role of the Hadoop Resource Manager?
  16. What is the difference between a Mapper and a Reducer in Hadoop?
  17. Can you explain the different Hadoop processing modes and how they differ from each other?
  18. How do you configure and tune Hadoop performance for specific workloads?
  19. Can you explain the Hadoop deployment models and how they affect the Hadoop architecture?
  20. How do you perform data preprocessing and cleaning in Hadoop? Can you explain the different techniques and tools used for the same?
  21. Can you explain the differences between Hadoop and Apache Spark in terms of data processing and analysis?
  22. How do you handle data replication in Hadoop? Can you explain the different replication strategies and their benefits?
  23. Can you explain the differences between Hadoop and traditional data warehousing systems in terms of data processing and analysis?
  24. What is the role of Hadoop Hive and how does it work?
  25. How do you handle large-scale data storage and retrieval in Hadoop? Can you explain the different techniques and tools used for the same?
  26. Can you explain the differences between Hadoop and cloud-based Big Data platforms like AWS EMR, Google Dataproc, etc.?
Hadoop Interview Questions For Experienced
  1. How do you configure Hadoop's High Availability (HA) feature? What are the steps involved?
  2. What are the different authentication mechanisms available in Hadoop? Which one would you choose and why?
  3. Can you explain the differences between Apache Hadoop and Cloudera Hadoop?
  4. How do you handle large-scale data processing in Hadoop? Can you explain the design patterns and best practices to be followed?
  5. What are the key challenges that you have faced while working on Hadoop projects? How did you overcome those challenges?
  6. How do you optimize Hadoop jobs for performance? Can you explain the techniques and tools used for the same?
  7. How do you design a fault-tolerant architecture for Hadoop? What are the considerations to be taken care of?
  8. Can you explain the different types of data serialization techniques used in Hadoop?
  9. How do you implement Hadoop security? Can you explain the different components and features of Hadoop security?
  10. How do you monitor Hadoop clusters? Can you explain the different tools and techniques used for the same?
  11. What are the different types of Hadoop schedulers available? Can you explain the differences between them?
  12. Can you explain the differences between MapReduce and Spark? When would you prefer one over the other?
  13. How do you perform data backup and recovery in Hadoop? Can you explain the different techniques and tools used for the same?
  14. How do you handle Hadoop upgrade and migration? What are the best practices to be followed?
  15. Can you explain the differences between Hadoop and NoSQL databases like MongoDB, Cassandra, etc.?
  16. How do you handle data skew in Hadoop? Can you explain the techniques and tools used for the same?
  17. Can you explain the differences between Hadoop and traditional data warehousing systems like Teradata, Oracle, etc.?
  18. How do you perform data cleansing and transformation in Hadoop? Can you explain the techniques and tools used for the same?
  19. How do you design a scalable Hadoop architecture? Can you explain the different considerations and best practices to be followed?
  20. Can you explain the differences between Hadoop and cloud-based Big Data platforms like AWS EMR, Google Dataproc, etc.?
  21. How do you handle large-scale machine learning tasks in Hadoop? Can you explain the techniques and tools used for the same?
  22. How do you implement Hadoop data governance? Can you explain the different components and features of Hadoop data governance?
  23. Can you explain the differences between Hadoop and traditional ETL (Extract, Transform, Load) systems?
  24. How do you implement Hadoop data lineage? Can you explain the different components and features of Hadoop data lineage?
  25. Can you explain the differences between Hadoop and graph databases like Neo4j, OrientDB, etc.?
  26. Can you explain the role of Hadoop HBase in storing and retrieving large-scale data?
  27. How do you implement real-time data processing and analysis in Hadoop? Can you explain the different techniques and tools used for the same?
  28. Can you explain the differences between Hadoop and in-memory databases like SAP HANA, Oracle TimesTen, etc.?
  29. What is the role of Hadoop Pig and how does it work?
  30. How do you implement data governance in Hadoop? Can you explain the different components and features of Hadoop data governance?
  31. Can you explain the differences between Hadoop and graph databases in terms of data processing and analysis?
  32. How do you handle large-scale machine learning tasks in Hadoop? Can you explain the different techniques and tools used for the same?
  33. Can you explain the differences between Hadoop and traditional ETL (Extract, Transform, Load) systems in terms of data processing and analysis?
  34. How do you implement Hadoop data lineage and metadata management? Can you explain the different components and features of Hadoop data lineage?
  35. What is the role of Hadoop Oozie and how does it work?