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 are the various programming languages supported by Spark?

355

What is accumulator?

319

Explain different transformation on DStream?

284

What are Paired RDD?

315

Name some sources from where Spark streaming component can process real-time data?

291

What is meant by in-memory processing in Spark?

305

Explain what are the various types of Transformation on DStream?

282

Define Partition in Apache Spark?

314

How many types of Transformation are there?

314

How you can remove the element with a critical present in any other Rdd is Apache spark?

300

What is Sparse Vector?

339

Is it possible to run Spark and Mesos along with Hadoop?

275

What is DataFrames?

370

Discuss writeahead logging in Apache Spark Streaming?

326

How can data transfer be minimized when working with Apache Spark?

295

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Un-Answered Questions { Apache Spark }

Why is Spark RDD immutable?

370

What is meant by rdd lazy evaluation?

405

How is rdd distributed?

325

How many partitions are created by default in Apache Spark RDD?

307

What is the difference between spark and scala?

354

What is the spark driver?

324

What is the difference between Spark Transform in DStream and map ?

298

What do you understand by Transformations in Spark?

318

What do you understand about yarn?

285

Explain sum(), max(), min() operation in Apache Spark?

301

What advantages does Spark offer over Hadoop MapReduce?

297

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

307

Why is apache spark so fast?

284

Why does spark skip stages?

255

What are the file formats supported by spark?

305

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