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 is a reliable and unreliable receiver in Spark?

322

In a given spark program, how will you identify whether a given operation is Transformation or Action ?

343

Can you list down the limitations of using Apache Spark?

313

Can you use Spark for ETL process?

279

What are the disadvantages of using Spark?

309

Where does Spark Driver run on Yarn?

288

Explain the terms Spark Partitions and Partitioners?

303

What do we mean by Partitions or slices?

281

How can you store the data in spark?

322

What are the advantages of DataFrame?

314

What are the components of Spark Ecosystem?

303

How is data represented in Spark?

308

What is the difference between Spark Transform in DStream and map ?

298

Explain various level of persistence in Apache Spark?

302

What are benefits of DataFrame in Spark?

328

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Un-Answered Questions { Apache Spark }

What do you understand by Executor Memory in a Spark application?

473

Can I run Apache Spark without Hadoop?

291

What are the various modes in which Spark runs on YARN? (Local vs Client vs Cluster Mode)

272

What is apache spark in big data?

272

Is hadoop required for spark?

304

Name the components of spark ecosystem.

276

What happens when we submit a spark job?

314

What is mlib?

291

How tasks are created in spark?

290

What is heap memory in spark?

265

What is the difference between hive and spark?

312

What is the difference between persist

352

List various commonly used machine learning algorithm?

373

Does spark need yarn?

243

Can you explain apache spark?

322

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