Hadoop Interview Questions and Answers 2026 | Big Data Interview Questions | MindMajix – YouTube

Ace your Big Data interview. This video covers Hadoop interview questions and answers for freshers and experienced candidates. Learnn about Hadoop concepts such as HDFS architecture, NameNode and DataNode roles, YARN, MapReduce, ecosystem components, data replication, fault tolerance, cluster management and more. We’ll cover everything from basic to advanced and scenario-based questions to help you clear Hadoop interview.

👉 Below are the concepts we covered in this video on Top 50 Hadoop Big Data Interview Questions and Answers:
✅ Hadoop Interview Questions For Freshers:
00:00:00 Introduction
00:01:04 What is Hadoop
00:01:48 What are the core components of Hadoop
00:02:56 What is HDFS
00:03:34 What is a Hadoop cluster
00:04:24 Define NameNode
00:05:13 Define DataNode
00:06:23 What is a block in HDFS
00:07:37 What is MapReduce
00:08:31 What is YARN
00:09:00 What is a replication factor
00:10:47 What is a rack in Hadoop
00:11:10 What is a JobTracker (legacy)
00:12:50 What is a TaskTracker (legacy)
00:13:30 What is Hadoop fault tolerant
00:14:27 Can Hadoop run without HDFS
00:16:01 What is a combiner
00:16:20 What is a pratitioner
00:16:42 What is a Hadoop Daemon
00:17:12 What is a Hadoop job
00:17:31 Why big data needs Hadoop

✅ Hadoop Interview Questions For 1 Year Experienced
00:18:31 What is secondary NameNode
00:19:14 What happens when NameNode fails
00:19:45 Explain HDFS write process
00:21:03 Explain HDFS read process
00:22:04 What is HDFS Safemode
00:22:48 What is speculative execution in Hadoop
00:23:11 What is InputSplit
00:23:33 Differences between InputSplit and HDFS block
00:23:53 Why is MapReduce is slow
00:24:54 What is SequenceFile
00:25:11 What is Hadoop streaming
00:25:34 How does shuffle and sort work
00:26:00 What is DistributedCache (Deprecated)
00:26:31 Explain high availability architecture
00:26:55 What is Checkpoint node
00:27:28 What is Hadoop balancer
00:27:47 What is rack awareness algorithm
00:28:05 What is HDFS federation
00:28:27 What is capacity scheduler
00:28:51 What is fair scheduler

✅ Advanced Big Data Hadoop Interview Questions
00:29:17 How do you optimize MapReduce jobs
00:29:48 What is MapReduce data locality optimization
00:30:08 Why NameNode stores metadata in memory
00:30:50 How do Hadoop clusters handle schema evolution
00:31:11 Differentiate between HDFS and Amazon S3 for Hadoop workloads
00:31:44 How does MapReduce handle faiures
00:32:03 How do you secure a Hadoop cluster
00:32:27 What is a DAG in modern data engines like Tez or Spark compared to Hadoop
00:33:00 Explain a scenario where MapReduce is still preferred over spark
00:33:46 Your MapReduce job is slow, how do you diagnose

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