[MOST ASKED] 25 HADOOP Interview Questions and Answers PDF Experienced

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25 TOP HADOOP INTERVIEW QUESTIONS AND ANSWERS PDF

• How did you debug your Hadoop code?
• How will you write a custom partitioner for a Hadoop job?
• How can you set an arbitrary number of Reducers to be created for a job in Hadoop?
• How can you set an arbitrary number of mappers to be created for a job in Hadoop?
• What will a Hadoop job do if you try to run it with an output directory that is already present? Will it
• Is it possible to have Hadoop job output in multiple directories? If yes, how?
• Is it possible to provide multiple input to Hadoop? If yes then how can you give multiple directories as input to the Hadoop job?
• Have you ever used Counters in Hadoop. Give us an example scenario?
• What mechanism does Hadoop framework provide to synchronise changes made in Distribution Cache during runtime of the application?
• What is the benefit of Distributed cache? Why can we just have the file in HDFS and have the application read it?
• What is Distributed Cache in Hadoop?
• What is the characteristic of streaming API that makes it flexible run MapReduce jobs in languages like Perl, Ruby, Awk etc.?

BIG DATA HADOOP INTERVIEW QUESTIONS AND ANSWERS LIST

• What is Hadoop Streaming?
• Using command line in Linux, how will you - See all jobs running in the Hadoop cluster - Kill a job?
• How does speculative execution work in Hadoop?
• Hadoop achieves parallelism by dividing the tasks across many nodes, it is possible for a few slow nodes to rate-limit the rest of the program and slow down the program. What mechanism Hadoop provides to combat this?
• Suppose Hadoop spawned 100 tasks for a job and one of the task failed. What will Hadoop do?
• What is the relationship between Jobs and Tasks in Hadoop?
• What is TaskTracker?
• What are some typical functions of Job Tracker?
• What is JobTracker?
• What is a Combiner?
• If no custom partitioner is defined in Hadoop then how is data partitioned before it is sent to the reducer?
• After the Map phase finishes, the Hadoop framework does “Partitioning, Shuffle and sort1”. Explain what happens in this phase?
• What is the purpose of RecordReader in Hadoop?

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