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Apache HDFS Hadoop Distributed File System Interview Questions
Questions Answers Views Company eMail

What is the difference between namenode, backup node and checkpoint namenode?

46

Is namenode also a commodity?

39

How do you do a file system check in hdfs?

37

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

94

What are problems with small files and hdfs?

36

Can you explain heartbeat in hdfs?

38

Can you define a block and block scanner in hdfs?

45

Can you explain about the indexing process in hdfs?

34

What is the throughput? How does hdfs give great throughput?

53

How does hdfs ensure information integrity of data blocks squares kept in hdfs?

29

What do you mean by block scanner in hdfs?

36

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

28

What does heartbeat in hdfs means?

30

What does hdfs mean?

37

Would you be able to change the block size of hdfs files?

41


Post New Apache HDFS Hadoop Distributed File System Questions

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

How to use hdfs put command for data transfer from flume to hdfs?

52


How NameNode tackle Datanode failures in HDFS?

32


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

33


How to change the replication factor of data which is already stored in HDFS?

34


What is the difference between MapReduce engine and HDFS cluster?

94


How data or file is written into HDFS?

50


What is Hadoop Distributed File System- HDFS?

40


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

39


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

72


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

97


Explain how indexing in hdfs is done?

30


What is the difference between input split and hdfs block?

89


Can multiple clients write into an HDFS file concurrently?

63


How data or file is read in HDFS?

36


Is the hdfs block size reduced to achieve faster query results?

36