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 }

What happens if the block on Hadoop HDFS is corrupted?

When NameNode enter in Safe Mode?

Mention what is the difference between hdfs and nas?

How is indexing done in Hadoop HDFS?

How to transfer data from Hive to HDFS?

Why rack awareness algorithm is used in hadoop?

Does the HDFS go wrong? If so, how?

What is NameNode and DataNode in HDFS?

How does hdfs provides good throughput?

Can you explain about the indexing process in hdfs?

Is namenode also a commodity?

What is a block?

How data or file is written into Hadoop HDFS?

Hdfs stores data using commodity hardware which has higher chances of failures. So, how hdfs ensures the fault tolerance capability of the system?

What is the procedure to create users in HDFS and how to allocate Quota to them?

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