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 do you mean by Speculative execution in Apache Spark?

312

Explain about the different cluster managers in Apache Spark

349

Explain Spark Executor

292

Explain the level of parallelism in Spark Streaming? Also, describe its need.

343

What are the various storages from which Spark can read data?

355

What is a Sparse Vector?

353

What is the difference between Caching and Persistence in Apache Spark?

335

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

323

Name some companies that are already using Spark Streaming?

282

What is Spark Streaming?

311

What does it mean by Columnar Storage Format?

315

What is Spark Dataset?

337

Why is there a need for broadcast variables when working with Apache Spark?

321

What is the abstraction of Spark Streaming?

274

What are shared variables?

348

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Un-Answered Questions { Apache Spark }

What do you understand by Pair RDD?

395

What are the various functions of Spark Core?

348

What is the use of spark?

286

What happens when we submit a spark job?

326

What is hive on spark?

403

When was spark introduced?

349

What is Speculative Execution in Apache Spark?

304

How do I start a spark master?

299

How is dag created in spark?

303

What is difference between dataset and dataframe in spark?

327

What is difference between scala and spark?

331

Is spark written in java?

326

What are shared variables?

348

Explain Accumulator in Spark?

467

Explain fullOuterJoin() operation in Apache Spark?

440

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