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

Apache Spark Interview Questions

Questions Answers Views Company eMail

Explain sortbykey() operation?

292

List various commonly used machine learning algorithm?

373

What are the ways in which one can know that the given operation is transformation or action?

279

Describe join() operation. How is outer join supported?

289

What is the method to create a data frame?

317

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

302

How can you manually partition the rdd?

301

How to create an rdd?

300

What is an rdd?

309

Explain the top() and takeordered() operation?

325

What are the major features/characteristics of rdd (resilient distributed datasets)?

307

What is the difference between map and flatmap?

305

How to identify that the given operation is transformation or action?

277

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

282

Can you define parquet file?

274

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Un-Answered Questions { Apache Spark }

Can you explain spark graphx?

292

Does spark use tez?

298

What is SparkSession in Apache Spark?

290

What is meant by rdd in spark?

259

What is the task of Spark Engine

327

What is the difference between scala and spark?

313

How do I start a spark server?

298

Explain lineage graph

320

What is the difference between reducebykey and groupbykey?

295

What are accumulators in spark?

311

List the languages supported by Apache Spark?

312

What are common uses of Apache Spark?

295

What is rdd lineage graph? How is it useful in achieving fault tolerance?

310

Explain accumulators in apache spark.

2074

What file systems Spark support?

342

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