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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Does Spark provide the storage layer too?

278

What are the advantages of datasets in spark?

277

How to save RDD?

314

What are the common faults of the developer while using Apache Spark?

287

When creating an RDD, what goes on internally?

295

What is Spark MLlib?

408

What is meant by Transformation? Give some examples.

308

On which all platform can Apache Spark run?

269

What do we mean by Paraquet?

446

Explain various cluster manager in Apache Spark?

381

What is the difference between DAG and Lineage?

1620

What are the file formats supported by spark?

305

List some use cases where Spark outperforms Hadoop in processing.

293

Explain the use of File system API in Apache Spark

286

How can you minimize data transfers when working with Spark?

349

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Un-Answered Questions { Apache Spark }

Name the two types of shared variable available in Apache Spark?

303

What is spark and what is its purpose?

266

Do I need to install hadoop for spark?

272

What is in memory in spark?

282

What is a spark standalone cluster?

248

What is the task of Spark Engine

328

What does repartition do in spark?

328

What is difference between cache and persist in spark?

275

Does spark load all data in memory?

340

What is tungsten engine in spark?

318

Explain schemardd?

359

What is sparkContext?

284

What are broadcast variables in Apache Spark? Why do we need them?

312

Is there any benefit of learning mapreduce if spark is better than mapreduce?

1812

What is speculative execution in spark?

322

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