Apache HDFS Hadoop Distributed File System Interview Questions
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What is hdfs block size?

51

How hdfs is different from traditional file systems?

42

How is hdfs block size different from traditional file system block size?

44

How data or a file is written into hdfs?

46

What is a namenode in hadoop?

39

What is secondary namenode?

44

What do you mean by meta data in hdfs? List the files associated with metadata.

26

Explain the hdfs architecture and list the various hdfs daemons in hdfs cluster?

42

Can you modify the file present in hdfs?

71

Define data integrity?

27

What do you mean by the high availability of a namenode? How is it achieved?

25

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

21

Define hadoop archives?

22

What is secondary namenode? Is it a substitute or back up node for the namenode?

41

What is the command for archiving a group of files in hdfs.

32


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

Does HDFS allow a client to read a file which is already opened for writing?

35


Why HDFS performs replication, although it results in data redundancy in Hadoop?

33


Mention what is the difference between hdfs and nas?

61


What are the main features of hdfssite.xml?

28


Define data integrity?

27


Explain how indexing is done in hdfs?

32


How is hdfs block size different from traditional file system block size?

44


How to keep files in HDFS?

49


How data or file is read in Hadoop HDFS?

33


What is Fault Tolerance in Hadoop HDFS?

33


How does hdfs provides good throughput?

42


While processing data from hdfs, does it execute code near data?

32


What do you mean by metadata in HDFS?

51


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

71


What do you mean by the high availability of a namenode?

22