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?

287

Explain fullOuterJoin() operation in Apache Spark?

420

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

307

Explain coalesce operation in Apache Spark?

323

Explain the level of parallelism in spark streaming?

289

Explain join() operation in Apache Spark?

354

How to process data using Transformation operation in Spark?

305

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

281

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

313

Explain the operation reduce() in Spark?

286

Explain the lookup() operation in Spark?

231

Explain the processing speed difference between Hadoop and Apache Spark?

290

Explain the operation transformation and action in Apache Spark RDD?

328

Explain Spark join() operation?

286

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

342

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Un-Answered Questions { Apache Spark }

How can you minimize data transfers when working with Spark?

349

On what all basis can you differentiate rdd, dataframe, and dataset?

302

Does spark use zookeeper?

275

Describe the distnct(),union(),intersection() and substract() transformation in Apache Spark RDD?

303

What are the advantage of spark?

292

How is rdd fault?

284

What do you understand about yarn?

285

What does rdd stand for in logistics?

315

Compare MapReduce and Spark?

287

How can you compare Hadoop and Spark in terms of ease of use?

289

Define RDD?

324

How do I get better performance with spark?

295

How you can use Akka with Spark?

360

Explain in brief what is the architecture of Spark?

312

What is meant by in-memory processing in Spark?

304

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