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?

340

What is accumulator?

300

Explain different transformation on DStream?

266

What are Paired RDD?

297

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

277

What is meant by in-memory processing in Spark?

284

Explain what are the various types of Transformation on DStream?

252

Define Partition in Apache Spark?

292

How many types of Transformation are there?

301

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

279

What is Sparse Vector?

321

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

263

What is DataFrames?

347

Discuss writeahead logging in Apache Spark Streaming?

305

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

284

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Un-Answered Questions { Apache Spark }

How do I optimize my spark code?

286

What are benefits of DataFrame in Spark?

310

Explain SparkContext in Apache Spark?

306

Explain join() operation in Apache Spark?

337

What is spark accreditation?

262

Who is the founder of spark?

293

What is Apache Spark? What is the reason behind the evolution of this framework?

260

What is project tungsten in spark?

274

What do you understand by the partitions in spark?

296

Is spark sql a database?

242

What is spark etl?

282

Why do we need apache spark?

257

What is Catalyst framework?

268

What are the ways to launch Apache Spark over YARN?

262

How do you integrate spark and hive?

295

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