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 is a reliable and unreliable receiver in Spark?

322

In a given spark program, how will you identify whether a given operation is Transformation or Action ?

343

Can you list down the limitations of using Apache Spark?

313

Can you use Spark for ETL process?

279

What are the disadvantages of using Spark?

309

Where does Spark Driver run on Yarn?

288

Explain the terms Spark Partitions and Partitioners?

303

What do we mean by Partitions or slices?

281

How can you store the data in spark?

322

What are the advantages of DataFrame?

314

What are the components of Spark Ecosystem?

303

How is data represented in Spark?

307

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

298

Explain various level of persistence in Apache Spark?

302

What are benefits of DataFrame in Spark?

328

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Un-Answered Questions { Apache Spark }

What is the use of checkpoints in spark?

319

Do I need scala for spark?

292

What is Spark Streaming?

297

Explain lineage graph

320

Why scala is used in spark?

328

Can You Use Apache Spark To Analyze and Access Data Stored In Cassandra Databases?

303

Can we run Apache Spark without Hadoop?

306

What is the difference between DSM and RDD?

304

What is the use of spark sql?

275

Can you define rdd?

307

Explain the various Transformation on Apache Spark RDD like distinct(), union(), intersection(), and subtract()?

299

Does spark sql use hive?

273

Can you explain spark core?

264

Define the term ‘sparse vector.’

283

What are the different ways of representing data in Spark?

269

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