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 Directed Acyclic Graph(DAG)?

326

What are Actions? Give some examples.

330

What is the difference between DSM and RDD?

316

What do you mean by Persistence?

330

How to create a Sparse vector from a dense vector?

373

What are common uses of Apache Spark?

311

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

416

How is fault tolerance achieved in Apache Spark?

324

What are the benefits of lazy evaluation?

315

How does Apache Spark handles accumulated Metadata?

365

What is lazy evaluation in Spark?

331

What is the use of checkpoints in spark?

326

How can Spark be connected to Apache Mesos?

342

In how many ways RDDs can be created? Explain.

313

What are the advantages of DataSets?

305

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Un-Answered Questions { Apache Spark }

Does spark need yarn?

259

What language is apache spark?

309

Do I need to learn scala for spark?

323

Compare MapReduce and Spark?

309

What are transformations in spark?

327

Can I run Apache Spark without Hadoop?

302

What are the ways to launch Apache Spark over YARN?

297

What is "GraphX" in Spark?

319

What is spark catalyst?

338

Explain transformation in rdd. How is lazy evaluation helpful in reducing the complexity of the system?

358

What do you know about schemardd?

326

What are the roles of the file system in any framework?

323

What is difference between spark and kafka?

313

What is data pipeline in spark?

307

What are the features of Spark?

305

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