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?

297

Explain the filter transformation?

337

what do you mean by the worker node?

325

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

320

Explain about trformations and actions in the context of rdds?

324

What is the key difference between textfile and wholetextfile method?

290

What do you understand by the parquet file?

294

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

322

Explain partitions?

291

Explain api create or replace tempview()?

348

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

340

Explain mappartitions() and mappartitionswithindex()?

438

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

300

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

356

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

301

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Un-Answered Questions { Apache Spark }

Illustrate some demerits of using Spark.

334

What is spark deploy mode?

321

To use Spark on an existing Hadoop Cluster, do we need to install Spark on all nodes of Hadoop?

365

Is Apache Spark a good fit for Reinforcement learning?

308

What rdd stands for?

333

What is the reason behind Transformation being a lazy operation in Apache Spark RDD? How is it useful?

505

What is difference between dataset and dataframe in spark?

327

Why do we use persist () on links rdd?

313

What is executor memory in spark?

334

What are broadcast variables in spark?

336

Does spark require hdfs?

300

What is a spark shuffle?

342

What is Spark Dataset?

337

Why is BlinkDB used?

311

Explain fullOuterJoin() operation in Apache Spark?

440

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