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 executor and driver in spark?

284

What is Apache Spark Machine learning library?

314

Why we need compression and what are the different compression format supported?

282

What is a DStream?

329

What is difference between hive and spark?

266

Name some companies that are already using Spark Streaming?

268

What is apache spark used for?

304

What is apache spark in big data?

272

Which one is better hadoop or spark?

313

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

302

Can aluminum cause a spark?

316

Is spark a special attack?

289

Explain first() operation in Apache Spark?

299

Compare Hadoop and Spark?

322

How can you compare Hadoop and Spark in terms of ease of use?

289

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