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 NameNode and DataNode in HDFS?

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

What are file permissions in HDFS and how HDFS check permissions for files or directory?

How data or file is written into HDFS?

What is throughput? How does HDFS get a good throughput?

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

List the various HDFS daemons in HDFS cluster?

What is the difference between NAS and HDFS?

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

What do you mean by metadata in HDFS? Where is it stored in Hadoop?

What is the optimal block size in HDFS?

What do you mean by metadata in HDFS?

Data node block size in HDFS, why 64MB?

What happens if the block in HDFS is corrupted?

What is Fault Tolerance in HDFS?

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

How HDFS helps NameNode in scaling in Hadoop?

Replication causes data redundancy then why is pursued in hdfs?

How does hdfs get a good throughput?

How to read file in HDFS?

How does a client read/write data in HDFS?

how does hdfs ensure data integrity of data blocks stored in hadoop hdfs?

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

Differentiate HDFS & HBase?

How to create Users in hadoop HDFS?

List the various HDFS daemons in HDFS cluster?

What is the difference betwaeen mapreduce engine and hdfs cluster?

Difference Between Hadoop and HDFS?

Is namenode also a commodity?

What is HDFS?

What should be the HDFS Block size to get maximum performance from Hadoop cluster?

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