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 the use of blinkdb?

313

How do you parse data in xml? Which kind of class do you use with java to parse data?

355

Explain parquet file?

303

What is lazy evaluation and how is it useful?

314

How is transformation on rdd different from action?

356

What is a dataset? What are its advantages over dataframe and rdd?

313

What is pagerank?

296

What is dag – directed acyclic graph?

318

Explain schemardd?

370

Describe coalesce() operation. When can you coalesce to a larger number of partitions? Explain.

348

When we create an rdd, does it bring the data and load it into the memory?

360

What does reduce action do?

291

how can you identify whether a given operation is transformation or action?

283

Explain the use of broadcast variables

336

How do you parse data in xml? Which kind of class do you use with java to pass data?

321

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Un-Answered Questions { Apache Spark }

Can spark work without hadoop?

349

Explain parquet file?

303

Is the following approach correct? Is the sqrt Of Sum Of Sq a valid reducer?

480

How does spark work with python?

313

Which all languages Apache Spark supports?

357

Is bigger than spark driver maxresultsize?

313

How can I speed up my spark?

283

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

322

Does spark store data?

300

How spark is used in hadoop?

306

What is spark ml?

357

What is an "RDD Lineage"?

313

What is the spark driver?

341

Explain the repartition() operation in Spark?

303

What is sc parallelize in spark?

315

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