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

Apache Spark Interview Questions

Questions Answers Views Company eMail

What is the difference between persist() and cache()?

323

Which spark library allows reliable file sharing at memory speed across different cluster frameworks?

271

What does the Spark Engine do?

323

How Spark uses Akka?

320

How Spark handles monitoring and logging in Standalone mode?

336

Explain how RDDs work with Scala in Spark

Capital One,

341

What is lineage graph in Apache Spark?

351

Different Running Modes of Apache Spark

310

How will you calculate the number of executors required to do real-time processing using Apache Spark? What factors need to be considered for deciding on the number of nodes for real-time processing?

289

List the popular use cases of Apache Spark?

289

What is Spark.executor.memory in a Spark Application?

305

Compare Hadoop and Spark?

322

What is write ahead log(journaling) in Spark?

427

What are Actions?

318

What are the limitations of Spark?

294

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Un-Answered Questions { Apache Spark }

What is aggregatebykey spark?

263

Explain Spark Core?

300

Name three features of using Apache Spark

287

Is spark distributed computing?

298

Which language is not supported by spark?

335

What database does spark use?

274

What is the difference between DSM and RDD?

304

What are the features of RDD, that makes RDD an important abstraction of Spark?

280

How many partitions are created by default in Apache Spark RDD?

307

What does rdd stand for?

454

What are 4 v's of big data?

292

What is lazy evaluation in Spark?

317

What are benefits of DataFrame in Spark?

328

What is tungsten in spark?

393

How does rdd work in spark?

297

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