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 HDFS?

Why HDFS?

How to Delete file from HDFS?

How to keep files in HDFS?

How is NFS different from HDFS?

Why is block size large in Hadoop?

Distinguish HDFS Block and Input Unit?

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

What happens when two users try to access to the same file in HDFS?

Does the HDFS go wrong? If so, how?

Why is HDFS only suitable for large data sets and not the correct tool to use for many small files?

What happens when two clients try to access the same file on HDFS?

148

What are the different file permissions in the HDFS for files or directory levels?

119

How to read file in HDFS?

When NameNode enter in Safe Mode?

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

What do you mean by metadata in Hadoop?

What is Fault Tolerance in Hadoop HDFS?

Why HDFS stores data using commodity hardware despite the higher chance of failures?

Explain the difference between an hdfs block and input split?

How to keep files in HDFS?

What is the throughput?

How one can format Hadoop HDFS?

How can one copy a file into HDFS with a different block size to that of existing block size configuration?

Can we change the document present in hdfs?

Can you modify the file present in hdfs?

Explain what is heartbeat in hdfs?

What do you mean by meta information in hdfs? List the documents related to metadata.

If data is present in HDFS and RF is defined, then how can we change Replication Factor?

What is NameNode and DataNode in HDFS?

How do you do a file system check in hdfs?

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