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

Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)

Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)

Hadoop Interview Questions

Questions Answers Views Company eMail

Is spark secure?

283

What is executor memory and driver memory in spark?

286

What is the point of apache spark?

284

What is rdd map?

325

What is faster than apache spark?

283

What is spark training?

279

How many ways we can create rdd in spark?

294

How tasks are created in spark?

290

Is apache spark a tool?

270

What is difference between spark and mapreduce?

272

Who created spark?

289

How is spark fault tolerance?

399

What is cluster in apache spark?

319

How many ways we can create rdd?

279

What does repartition do in spark?

328

Un-Answered Questions { Hadoop }

Explain why the name ‘hadoop’?

709

What is CAP Theorem? What aspects does Hadoop support from this theorem?

473

Explain what you understand by speculative execution

608

How do I check my spark status?

276

What are apache tajo sql functions?

How to Delete directory from HDFS?

What are active and passive "NameNodes"?

1466

What is the benefit of kafka?

510

How analysis of Big Data is useful for organizations?

460

What is an accumulator in spark?

300

What is the difference between python and spark?

283

What is the default replication factor and how will you change it?

533

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

On what basis Namenode will decide which datanode to write on?

1264

What are the main key structures of hbase?

167

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