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?

300

List various commonly used machine learning algorithm?

390

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

292

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

304

What is the method to create a data frame?

327

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

323

How can you manually partition the rdd?

316

How to create an rdd?

308

What is an rdd?

322

Explain the top() and takeordered() operation?

350

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

319

What is the difference between map and flatmap?

324

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

285

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

298

Can you define parquet file?

290

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Un-Answered Questions { Apache Spark }

What is meant by Transformation? Give some examples.

323

What are the various functions of Spark Core?

348

Apache Spark is a good fit for which type of machine learning techniques?

297

Why are spark transformations lazy?

308

explain the use of blinkdb?

313

What is meant by spark in big data?

303

What is spark technology?

309

How do we represent data in Spark?

372

What are the benefits of using Spark with Apache Mesos?

301

Why scala is used in spark?

349

Define actions in spark.

2255

Which language is not supported by spark?

347

Is apache spark a database?

328

How to process data using Transformation operation in Spark?

316

What is application master in spark?

294

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