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?

299

Explain about the different cluster managers in Apache Spark

328

Explain Spark Executor

282

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

327

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

340

What is a Sparse Vector?

330

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

323

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

315

Name some companies that are already using Spark Streaming?

268

What is Spark Streaming?

297

What does it mean by Columnar Storage Format?

301

What is Spark Dataset?

327

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

308

What is the abstraction of Spark Streaming?

263

What are shared variables?

332

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Un-Answered Questions { Apache Spark }

Is it necessary to install spark on all the nodes of a YARN cluster while running Apache Spark on YARN ?

344

How tasks are created in spark?

290

What is spark tool?

264

Can you use Spark for ETL process?

279

How can you manually partition the rdd?

301

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

327

What is the use of spark in big data?

348

Does spark use zookeeper?

275

Explain key features of Spark

309

What are the ways to run spark over hadoop?

312

Define the term ‘Lazy Evolution’ with reference to Apache Spark

304

What do you know about transformations in spark?

289

Is spark better than mapreduce?

278

What are spark jobs?

300

Do we need hadoop for spark?

297

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