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 the difference between persist() and cache()?

309

Which spark library allows reliable file sharing at memory speed across different cluster frameworks?

256

What does the Spark Engine do?

299

How Spark uses Akka?

293

How Spark handles monitoring and logging in Standalone mode?

319

Explain how RDDs work with Scala in Spark

Capital One,

325

What is lineage graph in Apache Spark?

327

Different Running Modes of Apache Spark

290

How will you calculate the number of executors required to do real-time processing using Apache Spark? What factors need to be considered for deciding on the number of nodes for real-time processing?

266

List the popular use cases of Apache Spark?

273

What is Spark.executor.memory in a Spark Application?

283

Compare Hadoop and Spark?

306

What is write ahead log(journaling) in Spark?

413

What are Actions?

309

What are the limitations of Spark?

275

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Un-Answered Questions { Apache Spark }

On which all platform can Apache Spark run?

250

How can apache spark be used alongside hadoop?

1791

What is javardd?

280

What is Catalyst framework?

269

How is spark sql different from hql and sql?

242

What is Spark SQL?

296

How does pipe operation writes the result to standard output in Apache Spark?

337

What are the roles of the file system in any framework?

295

What operations RDD support?

292

When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?

315

What is Spark Core?

275

What is dataframe api?

293

What is sparkconf spark?

268

Is spark part of hadoop ecosystem?

278

Explain benefits of lazy evaluation in RDD in Apache Spark?

296

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