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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


Post New Apache Spark Questions

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