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?

284

What is a DStream?

313

What are the various data sources available in SparkSQL?

317

Explain about the core components of a distributed Spark application?

272

What are the benefits of using Spark with Apache Mesos?

268

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

268

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

314

What is the significance of Sliding Window operation?

290

Why is BlinkDB used?

279

What is the advantage of a Parquet file?

307

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

376

What do you understand by SchemaRDD?

298

How can you achieve high availability in Apache Spark?

415

Define a worker node?

427

Name a few companies that use Apache Spark in production?

310

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Un-Answered Questions { Apache Spark }

What are Paired RDD?

297

What is spark tool in big data?

265

How can you remove the elements with a key present in any other RDD?

279

What are the main components of spark?’

299

What is the difference between cache and persist in spark?

319

Can copper cause a spark?

289

Can you explain accumulators in apache spark?

291

Which language is better for spark?

269

Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?

397

What are the limitations of Apache Spark?

252

Is apache spark part of hadoop?

279

Can you define rdd?

287

When creating an RDD, what goes on internally?

270

Does Apache Spark provide check pointing?

392

What is the difference between Spark Transform in DStream and map ?

275

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