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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Why is transformation lazy operation in Apache Spark RDD? How is it useful?

277

Explain fullOuterJoin() operation in Apache Spark?

405

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

290

Explain coalesce operation in Apache Spark?

311

Explain the level of parallelism in spark streaming?

283

Explain join() operation in Apache Spark?

341

How to process data using Transformation operation in Spark?

294

What is Resilient Distributed Dataset (RDD) in Apache Spark? How does it make spark operator rich?

263

What are the differences between Caching and Persistence method in Apache Spark?

302

Explain the operation reduce() in Spark?

271

Explain the lookup() operation in Spark?

218

Explain the processing speed difference between Hadoop and Apache Spark?

267

Explain the operation transformation and action in Apache Spark RDD?

313

Explain Spark join() operation?

266

How is RDD in Apache Spark different from Distributed Storage Management?

332

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Un-Answered Questions { Apache Spark }

Explain the RDD properties?

298

List few benefits of spark over map reduce?

277

Is spark a special attack?

276

What are transformations in spark?

296

Explain about transformations and actions in the context of RDDs.

331

What is the abstraction of Spark Streaming?

254

Define Actions.

287

What is spark in python?

271

What is hdfs spark?

274

Is spark sql faster than hive?

280

How can you achieve high availability in Apache Spark?

419

What are the benefits of lazy evaluation?

282

What are spark jobs?

273

What is rdd partition?

311

Why does spark skip stages?

241

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