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 is a reliable and unreliable receiver in Spark?

298

In a given spark program, how will you identify whether a given operation is Transformation or Action ?

313

Can you list down the limitations of using Apache Spark?

302

Can you use Spark for ETL process?

267

What are the disadvantages of using Spark?

283

Where does Spark Driver run on Yarn?

262

Explain the terms Spark Partitions and Partitioners?

283

What do we mean by Partitions or slices?

265

How can you store the data in spark?

297

What are the advantages of DataFrame?

279

What are the components of Spark Ecosystem?

288

How is data represented in Spark?

286

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

275

Explain various level of persistence in Apache Spark?

281

What are benefits of DataFrame in Spark?

310

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Un-Answered Questions { Apache Spark }

Can rdd be shared between sparkcontexts?

269

What is difference between spark and scala?

250

What are the various levels of persistence in Apache Spark?

301

What is meant by in-memory processing in Spark?

284

What is pipelined rdd?

241

Which is the best spark certification?

268

What are the various functions of Spark Core?

315

Explain first() operation in Apache Spark?

281

How do I install spark?

256

What is driver memory and executor memory in spark?

306

What is map in spark?

297

How will you calculate the number of executors required to do real-time processing using Apache Spark? What factors need to be considered for deciding on the number of nodes for real-time processing?

265

What is spark repartition?

295

What is skew data?

281

List the popular use cases of Apache Spark?

273

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