Apache Spark Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Apache Spark Interview Questions

Questions Answers Views Company eMail

How Spark uses Hadoop?

298

What is a DStream?

329

What are the various data sources available in SparkSQL?

333

Explain about the core components of a distributed Spark application?

291

What are the benefits of using Spark with Apache Mesos?

290

What are the common mistakes developers make when running Spark applications?

285

When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?

325

What is the significance of Sliding Window operation?

308

Why is BlinkDB used?

301

What is the advantage of a Parquet file?

329

What are the key features of Apache Spark that you like?

388

What do you understand by SchemaRDD?

315

How can you achieve high availability in Apache Spark?

433

Define a worker node?

455

Name a few companies that use Apache Spark in production?

325

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Un-Answered Questions { Apache Spark }

What are benefits of DataFrame in Spark?

328

What are common spark ecosystems?

319

What is spark in python?

290

What do we mean by Paraquet?

445

Name three companies which is used Spark Streaming services

326

What rdd stands for?

320

What are the libraries of spark sql?

288

What is deploy mode in spark?

304

What are the various functions of Spark Core?

332

How does pipe operation writes the result to standard output in Apache Spark?

365

Explain different transformation on DStream?

284

Should I install spark on all nodes of yarn cluster?

339

How does spark program work?

273

What is apache spark for beginners?

287

Is apache spark part of hadoop?

300

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