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 sql faster than hive?

287

What is serialization in spark?

309

What is client mode in spark?

322

Which are the methods to create rdd in spark?

295

What is executor cores in spark?

295

Why we use parallelize in spark?

289

What is cluster manager in spark?

305

How do I change hive execution engine to spark?

301

What is spark dynamic allocation?

308

What is driver memory and executor memory in spark?

326

Does spark run mapreduce?

299

Can rdd be shared between sparkcontexts?

286

What is apache spark good for?

283

What is spark shuffle service?

338

What is meant by rdd in spark?

259

Un-Answered Questions { Hadoop }

Why Hive is not suitable for OLTP systems?

736

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

615

What size is recommended for each node?

214

Replication causes data redundancy and consume a lot of space, then why is it pursued in hdfs?

Is there a date data type in Hive?

743

What are the various libraries available on top of Apache Spark?

308

Since the data is replicated thrice in hdfs, does it mean that any calculation done on one node will also be replicated on the other two?

Explain Features of Pig?

673

What is the user of sparkContext?

313

Explain map-only job?

529

How many maximum jvm can run on a slave node?

686

What do we mean by Paraquet?

446

How many Reducers should be configured?

180

What is available mechanism for connecting from applications, when we run hive as a server?

769

File permissions in HDFS?

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