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

What do you understand by Executor Memory in a Spark application?

473

Is Apache Spark a good fit for Reinforcement learning?

292

What is Catalyst framework?

292

What do you understand by Pair RDD?

385

How can you launch Spark jobs inside Hadoop MapReduce?

314

How can you compare Hadoop and Spark in terms of ease of use?

289

Which one will you choose for a project –Hadoop MapReduce or Apache Spark?

315

What do you understand by Lazy Evaluation?

376

How can you remove the elements with a key present in any other RDD?

297

How Spark uses Hadoop?

298

What is a DStream?

329

What are the various data sources available in SparkSQL?

333

Explain about the core components of a distributed Spark application?

291

What are the benefits of using Spark with Apache Mesos?

290

What are the common mistakes developers make when running Spark applications?

286

Un-Answered Questions { Hadoop }

What does connector api in kafka?

509

Why is flume used?

What is hadoop, hbase, hive and cassandra? Specify similarities and differences among them.

126

how will you implement SQL in Spark?

377

How many types of tunable consistency are supported in Cassandra?

What are the data manipulation commands of hbase?

201

What are benefits of Spark over MapReduce?

453

Describe Partition and Partitioner in Apache Spark?

303

Can we change the document present in hdfs?

How many Reducers run for a MapReduce job in Hadoop?

590

What is map in spark?

333

Replication causes data redundancy then why is is pursued in HDFS?

How is the splitting of file invoked in Hadoop framework?

513

What is the role of a zookeeper in a kafka cluster?

542

Why should we use presto?

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