Apache HDFS Hadoop Distributed File System Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Apache HDFS Hadoop Distributed File System Interview Questions

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What is the problem in having lots of small files in hdfs?

Why rack awareness algorithm is used in hadoop?

Can you change the block size of hdfs files?

Explain about the indexing process in hdfs?

Explain what is difference between an input split and hdfs block?

Replication causes data redundancy then why is pursued in hdfs?

Since the data is replicated thrice in hdfs, does it mean that any calculation done on one node will also be replicated on the other two?

If a particular file is 50 mb, will the hdfs block still consume 64 mb as the default size?

What is the difference between an hdfs block and input split?

Explain hdfs?

Explain the key features of hdfs?

How does hdfs get a good throughput?

Explain how indexing is done in hdfs?

Explain the difference between mapreduce engine and hdfs cluster?

Explain the difference between an hdfs block and input split?

Un-Answered Questions { Apache HDFS Hadoop Distributed File System }

Explain the hdfs architecture?

List the files associated with metadata in hdfs?

HDFS is used for applications with large data sets, not why Many small files?

What is a task tracker?

How is NFS different from HDFS?

How will you perform the inter cluster data copying work in hdfs?

Explain what is heartbeat in hdfs?

What is the difference between MapReduce engine and HDFS cluster?

What is throughput in HDFS?

What is a rack awareness algorithm and why is it used in hadoop?

What are the difference between of the “HDFS Block” and “Input Split”?

What do you mean by the High Availability of a NameNode in Hadoop HDFS?

How to access HDFS?

How data or file is read in HDFS?

What is HDFS?

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