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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Is apache spark an etl tool?

250

What is a spark context?

251

Where is rdd stored?

288

What is apache spark engine?

281

Is hadoop mandatory for spark?

259

What is map in spark?

297

Is spark written in java?

294

How do I start a spark cluster?

279

Does spark sql use hive?

255

What is the default spark executor memory?

254

What is the difference between coalesce and repartition in spark?

301

What does rdd mean?

290

How does groupbykey work in spark?

275

What is tungsten in spark?

379

What is the difference between dataframe and dataset in spark?

267

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Un-Answered Questions { Apache Spark }

Explain leftOuterJoin() and rightOuterJoin() operation in Apache Spark?

374

What is Apache Spark? What is the reason behind the evolution of this framework?

260

What is paired rdd in spark?

326

What is a "Parquet" in Spark?

293

What are the drawbacks of Apache Spark?

303

Name the operations supported by rdd?

304

How do I get better performance with spark?

280

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

334

What is the default level of parallelism in apache spark?

376

Is it possible to run Spark and Mesos along with Hadoop?

263

What are transformations in spark?

294

Does spark store data?

265

Does spark need hdfs?

266

What causes sparks?

276

How can you achieve high availability in Apache Spark?

415

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