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

Apache Spark Interview Questions

Questions Answers Views Company eMail

List commonly used machine learning algorithm?

292

Explain the filter transformation?

309

what do you mean by the worker node?

310

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

310

Explain about trformations and actions in the context of rdds?

307

What is the key difference between textfile and wholetextfile method?

266

What do you understand by the parquet file?

279

If there is certain data that we want to use again and again in different transformations, what should improve the performance?

304

Explain partitions?

278

Explain api create or replace tempview()?

339

Define parquet file format? How to convert data to parquet format?

316

Explain mappartitions() and mappartitionswithindex()?

421

Explain pipe() operation. How it writes the result to the standard output?

280

Explain transformation in rdd. How is lazy evaluation helpful in reducing the complexity of the system?

346

How to identify that given operation is transformation/action in your program?

282

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Un-Answered Questions { Apache Spark }

List the various types of "Cluster Managers" in Spark.

345

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

325

How rdd can be created in spark?

264

What is spark rdd?

288

What is the use of flatmap in spark?

284

Can we broadcast an rdd?

297

What is difference between scala and spark?

317

What is an "Accumulator"?

283

Do I need to know hadoop to learn spark?

340

Explain transformation in rdd. How is lazy evaluation helpful in reducing the complexity of the system?

346

Can you define rdd lineage?

278

Name a few commonly used spark ecosystems?

286

Is apache spark part of hadoop?

300

What are the common transformations in apache spark?

288

Why is Spark RDD immutable?

370

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