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 do you mean by Speculative execution in Apache Spark?

300

Explain about the different cluster managers in Apache Spark

329

Explain Spark Executor

282

Explain the level of parallelism in Spark Streaming? Also, describe its need.

328

What are the various storages from which Spark can read data?

340

What is a Sparse Vector?

330

What is the difference between Caching and Persistence in Apache Spark?

323

What are the roles of the file system in any framework?

315

Name some companies that are already using Spark Streaming?

268

What is Spark Streaming?

297

What does it mean by Columnar Storage Format?

301

What is Spark Dataset?

327

Why is there a need for broadcast variables when working with Apache Spark?

308

What is the abstraction of Spark Streaming?

263

What are shared variables?

332

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Un-Answered Questions { Apache Spark }

What is partitioner spark?

278

What are the advantages of datasets in spark?

277

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

307

How do you integrate spark and hive?

322

How you can use Akka with Spark?

360

How do I optimize my spark code?

306

Please explain the sparse vector in Spark.

283

List out the various advantages of dataframe over rdd in apache spark?

305

What is spark written?

333

What is a spark shuffle?

334

How does one create RDDs in Spark?

278

Explain Spark join() operation?

286

What is hdfs spark?

286

Is hadoop mandatory for spark?

282

What do you understand by Pair RDD?

385

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