FAQs for Top 50 Hadoop Interview Questions Answers for 2023

Q1. What is Hadoop?

A. To crack this question, provide a clear and concise definition of Hadoop. You can also talk about its origins, key features, and benefits. It's important to demonstrate your understanding of the technology and its role in big data processing.

Q2. Explain the Hadoop architecture.

A. To crack this question, be sure to understand the components of the Hadoop architecture, including HDFS, MapReduce, NameNode, DataNode, JobTracker, and TaskTracker. Explain how they work together to process and store large amounts of data.

Q3. What is the difference between HDFS and MapReduce?

A. To crack this question, explain that HDFS is the storage layer of Hadoop, responsible for storing and managing large datasets across a cluster of machines. MapReduce is the processing layer, responsible for processing large datasets in a distributed environment. You can also provide examples of how HDFS and MapReduce work together to process data.

Q4. What are the key features of Hadoop?

A. To crack this question, list some of the key features of Hadoop, including its ability to handle large volumes of data, fault tolerance, scalability, and flexibility. You can also provide examples of how Hadoop has been used in real-world applications.

Q5. What is the significance of the replication factor in HDFS?

A. To crack this question, explain that the replication factor determines how many copies of each data block are stored in the Hadoop cluster. The replication factor is important for ensuring data availability and fault tolerance. You can also explain how to adjust the replication factor to optimize performance and storage capacity.