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

Apache Spark Interview Questions

Questions Answers Views Company eMail

What makes Apache Spark good at low-latency workloads like graph processing and machine learning?

342

Can you use Spark to access and analyse data stored in Cassandra databases?

389

Explain in brief what is the architecture of Spark?

324

What is Spark DataFrames?

294

In how many ways can we use Spark over Hadoop?

347

Explain Machine Learning library in Spark?

303

Explain about transformations and actions in the context of RDDs.

361

Explain the difference between Spark SQL and Hive.

402

Explain Catalyst framework?

373

What are the downsides of Spark?

374

What is the need for Spark DAG?

319

What is broadcast variable?

383

Why does the picture of Spark come into existence?

324

How can we launch Spark application on YARN?

444

Explain catalyst query optimizer in Apache Spark?

327

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Un-Answered Questions { Apache Spark }

Do I need to know scala to learn spark?

370

What is the difference between dataset and dataframe in spark?

382

What are Actions? Give some examples.

330

What is Immutable?

348

Is spark difficult to learn?

323

What is a tuple in spark?

300

What is Spark Core?

317

What is spark vs hadoop?

295

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

505

what do you mean by the worker node?

326

Define Spark-SQL?

297

What is parallelize in spark?

304

Explain Machine Learning library in Spark?

303

List some use cases where Spark outperforms Hadoop in processing.

307

What is difference between dataset and dataframe?

406

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