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?

268

List various commonly used machine learning algorithm?

354

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

255

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

268

What is the method to create a data frame?

301

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

288

How can you manually partition the rdd?

275

How to create an rdd?

283

What is an rdd?

288

Explain the top() and takeordered() operation?

303

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

289

What is the difference between map and flatmap?

287

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

252

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

273

Can you define parquet file?

261

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Un-Answered Questions { Apache Spark }

Can you explain spark mllib?

266

Define various running modes of apache spark?

265

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

255

Can I run Apache Spark without Hadoop?

271

What is RDD?

467

Can you explain spark core?

249

What is pair rdd?

282

Is spark sql faster than hive?

275

What is flatmap in angular?

306

What is spark slang for?

264

Name the languages which are supported by apache spark and which one is most popular?

260

Explain the terms Spark Partitions and Partitioners?

284

What is Spark MLlib?

385

Which is better hadoop or spark?

275

What is spark reducebykey?

257

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