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?

288

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

338

Explain parquet file?

282

What is lazy evaluation and how is it useful?

304

How is transformation on rdd different from action?

343

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

297

What is pagerank?

286

What is dag – directed acyclic graph?

300

Explain schemardd?

359

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

331

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

345

What does reduce action do?

280

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

271

Explain the use of broadcast variables

317

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

307

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Un-Answered Questions { Apache Spark }

How is rdd distributed?

325

What is scala and spark?

271

How to create RDD?

497

What is Spark Core?

291

Explain the repartition() operation in Spark?

289

What is executor spark?

298

How rdd can be created in spark?

264

What are the features of spark rdd?

287

How sparksql is different from hql and sql?

502

What is spark databricks?

314

What is a tuple in spark?

285

What is the user of sparkContext?

313

What is Sparse Vector?

339

What is a pipelinedrdd?

436

Explain the concept of resilient distributed dataset (rdd).

2052

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