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?

385

What are the various levels of persistence in Apache Spark?

320

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

443

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

456

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

344

Explain about the major libraries that constitute the Spark Ecosystem?

417

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

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Un-Answered Questions { Apache Spark }

Where are rdd stored?

289

What is a pipelinedrdd?

433

What is big data spark?

309

What is master node in spark?

303

How do I get better performance with spark?

295

What is transformation in spark?

321

Is spark a programming language?

292

What are the key features of Apache Spark that you like?

388

What are the advantages of datasets in spark?

277

What is rdd lineage graph? How is it useful in achieving fault tolerance?

310

What is a hive on spark?

288

Why do we use spark?

329

Does spark need hadoop?

283

Explain the difference between Spark SQL and Hive.

390

What is an "Accumulator"?

283

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