Apache HDFS Hadoop Distributed File System Interview Questions
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Characterize data integrity? How does hdfs ensure information integrity of data blocks squares kept in hdfs?

29

Does hdfs enable a customer to peruse a record, which is already opened for writing?

15

What is the throughput?

31

How does hdfs give great throughput?

22

Will various customers write into an hdfs record simultaneously?

30

Clarify the difference between nas and hdfs.

21

What do you mean by meta information in hdfs?

20

Can we change the document present in hdfs?

19

Explain what is heartbeat in hdfs?

22

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

20

Explain how indexing in hdfs is done?

21

Mention what is the best way to copy files between hdfs clusters?

59

Mention what is the difference between hdfs and nas?

41

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

32

What is the difference between input split and hdfs block?

71


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

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

27


What is secondary namenode?

28


Which classes are used by the hive to read and write hdfs files?

34


How to keep files in HDFS?

40


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

23






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

23


What is Secondary NameNode in Hadoop HDFS?

50


What is the throughput?

31


What is HDFS?

26


Explain HDFS “Write once Read many” pattern?

24


List the various HDFS daemons in HDFS cluster?

20


Why does hive not store metadata information in hdfs?

17


What is hdfs in big data?

31


File permissions in HDFS?

17


What is the benifit of Distributed cache, why can we just have the file in HDFS and have the application read it?

31