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 apache spark and what is it used for?

328

What is the difference between cache and persist in spark?

331

What is executor memory in spark?

324

What is master node in spark?

304

What is difference between dataset and dataframe in spark?

318

What is lineage graph in spark?

285

Why do we use persist () on links rdd?

295

What is dataframe in spark?

289

Do we need scala for spark?

305

What are the components of spark?

279

Is spark sql faster than hive?

287

What is serialization in spark?

307

What is client mode in spark?

322

Which are the methods to create rdd in spark?

295

What is executor cores in spark?

295

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Un-Answered Questions { Apache Spark }

Why was spark created?

273

In a very huge text file, you want to just check if a particular keyword exists. How would you do this using Spark?

404

What are transformations in spark?

307

Define various running modes of apache spark?

282

Explain keys() operation in Apache spark?

334

How does groupbykey work in spark?

299

What is the biggest shortcoming of Spark?

317

What role does worker node play in Apache Spark Cluster? And what is the need to register a worker node with the driver program?

346

Compare hadoop & spark?

265

How spark is used in hadoop?

287

What is accumulators and broadcast variables in spark?

328

What is the use of rdd in spark?

274

how will you implement SQL in Spark?

377

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

278

What is Apache Spark and what are the benefits of Spark over MapReduce?

279

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