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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Explain about the different types of transformations on DStreams?

404

What are the various levels of persistence in Apache Spark?

326

How can you trigger automatic clean-ups in Spark to handle accumulated metadata?

467

What are the disadvantages of using Apache Spark over Hadoop MapReduce?

475

Is it necessary to install spark on all the nodes of a YARN cluster while running Apache Spark on YARN ?

360

Explain about the major libraries that constitute the Spark Ecosystem?

432

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

483

Is Apache Spark a good fit for Reinforcement learning?

308

What is Catalyst framework?

307

What do you understand by Pair RDD?

395

How can you launch Spark jobs inside Hadoop MapReduce?

331

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

302

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

327

What do you understand by Lazy Evaluation?

391

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

311

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Un-Answered Questions { Apache Spark }

List out the difference between textFile and wholeTextFile in Apache Spark?

418

What role does worker node play in Apache Spark Cluster? And what is the need to register a worker node with the driver program?

352

Why Apache Spark?

335

What is the user of sparkContext?

329

How is fault tolerance achieved in Apache Spark?

324

What is RDD Lineage?

424

When should you use spark cache?

307

What is amazon spark?

284

Does google use spark?

290

Define actions in spark.

2255

What is the advantage of a Parquet file?

340

What is spark driver application?

281

Describe Partition and Partitioner in Apache Spark?

311

List few benefits of spark over map reduce?

314

What is spark execution engine?

386

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