Big Data Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Big Data Interview Questions

Questions Answers Views Company eMail

What is nlineoutputformat?

676

Explain why do we need hadoop?

661

Explain the features of pseudo mode?

704

What do shuffling do?

674

Explain the basic difference between traditional rdbms and hadoop?

654

Explain what if rack 2 and datanode fails?

636

Define a job tracker?

704

Explain the features of fully distributed mode?

625

What are the characteristics of hadoop framework?

668

Explain how can we change the split size if our commodity hardware has less storage space?

650

Explain how is hadoop different from other data processing tools?

731

Define a datanode?

650

Is secondary namenode a substitute to the namenode?

684

What is a secondary namenode?

628

What is unstructured data?

668

Un-Answered Questions { Big Data }

What is a reliable and unreliable receiver in Spark?

322

What is the relation between job and task in hadoop?

665

Apache Flume support third-party plugins also?

Compare apache pig and sql?

567

Which one will you decide for an undertaking – Hadoop MapReduce or Apache Spark?

615

How to format the HDFS? How frequently it will be done?

What is the use of expand cqlsh command in Cassandra?

Explain the benefits of block transfer?

823

When is it not recommended to use MapReduce paradigm for large scale data processing?

655

Explain the key benefits of using storm for real time processing?

431

Which technique can you use in hbase to access hfile directly without the help of hbase?

173

What are combiners? When should I use a combiner in my MapReduce Job?

904

What is data pipeline in spark?

297

What are the key features of Apache Spark that you like?

390

What is identity mapper and identity reducer?

644

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