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?

284

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

324

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?

432

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 }

Is spark and hadoop same?

266

List out the ways of creating RDD in Apache Spark?

289

What is Apache Spark Machine learning library?

314

In how many ways can we use Spark over Hadoop?

326

What is Starvation scenario in spark streaming?

346

How can you launch Spark jobs inside Hadoop MapReduce?

314

Name a few companies that use Apache Spark in production?

325

What are the disadvantages of using Spark?

309

How can data transfer be minimized when working with Apache Spark?

295

Is spark built on top of hadoop?

315

Can you explain accumulators in apache spark?

307

On what all basis can you differentiate rdd, dataframe, and dataset?

302

Where does spark plug get power?

277

Can you explain broadcast variables?

294

What is spark ml?

350

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