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

How is fault tolerance achieved in Apache Spark?

307

What are the benefits of lazy evaluation?

303

How does Apache Spark handles accumulated Metadata?

348

What is lazy evaluation in Spark?

317

What is the use of checkpoints in spark?

322

How can Spark be connected to Apache Mesos?

330

In how many ways RDDs can be created? Explain.

302

What are the advantages of DataSets?

291

What makes Apache Spark good at low-latency workloads like graph processing and machine learning?

330

Can you use Spark to access and analyse data stored in Cassandra databases?

372

Explain in brief what is the architecture of Spark?

314

What is Spark DataFrames?

276

In how many ways can we use Spark over Hadoop?

326

Explain Machine Learning library in Spark?

285

Explain about transformations and actions in the context of RDDs.

351

Un-Answered Questions { Hadoop }

Can you explain about the cluster manager of apache spark?

262

What are the main benefits of using cassandra?

Explain what is hadoop?

438

Which one is better hadoop or spark?

315

Why is rdd immutable?

315

Explain combiners.

642

What are the Optimizations a developer can use during joins?

534

How many Daemon processes run on a Hadoop system?

1109

What is the use of rdd in spark?

276

State some highlights of Ambari?

What is the role of a MapReduce partitioner?

810

What is the History of Cassandra Database ?

What is spark tool?

265

How can we remove a znode?

What is executor cores in spark?

295

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