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?

280

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?

285

What is dag – directed acyclic graph?

300

Explain schemardd?

359

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

328

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

345

What does reduce action do?

277

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 }

Can you explain how you can use Apache Spark along with Hadoop?

309

Who uses apache spark?

353

What is Spark Dataset?

327

What is SparkSession in Apache Spark?

290

How spark works on hadoop?

340

What is write ahead log(journaling)?

310

What is the standalone mode in spark cluster?

267

Why does the picture of Spark come into existence?

311

Name some companies that are already using Spark Streaming?

268

What languages support spark?

287

Explain values() operation in apache spark?

495

What is partitioner spark?

278

What do you understand about yarn?

284

Define sparksession in apache spark? Why is it needed?

275

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

328

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