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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Explain sortbykey() operation?

292

List various commonly used machine learning algorithm?

373

What are the ways in which one can know that the given operation is transformation or action?

281

Describe join() operation. How is outer join supported?

289

What is the method to create a data frame?

317

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

302

How can you manually partition the rdd?

301

How to create an rdd?

300

What is an rdd?

310

Explain the top() and takeordered() operation?

325

What are the major features/characteristics of rdd (resilient distributed datasets)?

307

What is the difference between map and flatmap?

305

How to identify that the given operation is transformation or action?

277

Why we need compression and what are the different compression format supported?

282

Can you define parquet file?

275

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Un-Answered Questions { Apache Spark }

Write the command to start and stop the spark in an interactive shell?

274

Is java required for spark?

293

Are sparks dangerous?

345

What are the drawbacks of Apache Spark?

317

How is Apache Spark better than Hadoop?

300

Explain Spark saveAsTextFile() operation?

342

What are shared variables in spark?

304

What is spark in big data?

304

How do we create rdds in spark?

558

Does Apache Spark provide checkpoints?

284

Is it necessary to install spark on all the nodes of a YARN cluster while running Apache Spark on YARN ?

344

What is pair rdd in spark?

287

Is spark a language?

279

Do I need to learn scala for spark?

315

What is the difference between spark and apache spark?

320

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