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

Big Data Interview Questions

Questions Answers Views Company eMail

Explain pipe() operation. How it writes the result to the standard output?

280

Explain transformation in rdd. How is lazy evaluation helpful in reducing the complexity of the system?

346

How to identify that given operation is transformation/action in your program?

282

explain the use of blinkdb?

288

How do you parse data in xml? Which kind of class do you use with java to parse data?

338

Explain parquet file?

282

What is lazy evaluation and how is it useful?

304

How is transformation on rdd different from action?

343

What is a dataset? What are its advantages over dataframe and rdd?

297

What is pagerank?

286

What is dag – directed acyclic graph?

300

Explain schemardd?

359

Describe coalesce() operation. When can you coalesce to a larger number of partitions? Explain.

331

When we create an rdd, does it bring the data and load it into the memory?

345

What does reduce action do?

280

Un-Answered Questions { Big Data }

What is Fault Tolerance?

533

What is the difference between like and rlike operators in hive?

754

Is there any benefit of learning MapReduce, then?

292

Why is spark good?

291

Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?

410

What is the precedence order of hive configuration?

936

Why do we use ‘filters’ Pig scripts?

613

What are sink processors?

912

What is data skew in spark?

299

Whether the output of mapper or output of partitioner written on local disk?

672

Explain NameNode and DataNode in HDFS?

How much Metadata will be created on NameNode in Hadoop?

What is the need of key-value pair to process the data in MapReduce?

668

What is sink processors?

How does Mappers run method works?

895

For More Un-Answered { Big Data } Questions Click Here