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?

328

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

372

Explain in brief what is the architecture of Spark?

312

What is Spark DataFrames?

275

In how many ways can we use Spark over Hadoop?

326

Explain Machine Learning library in Spark?

285

Explain about transformations and actions in the context of RDDs.

348

Explain the difference between Spark SQL and Hive.

390

Explain Catalyst framework?

361

What are the downsides of Spark?

354

What is the need for Spark DAG?

309

What is broadcast variable?

363

Why does the picture of Spark come into existence?

312

How can we launch Spark application on YARN?

421

Explain catalyst query optimizer in Apache Spark?

315

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Un-Answered Questions { Apache Spark }

What are benefits of Spark over MapReduce?

453

Explain countByValue() operation in Apache Spark RDD?

265

How is rdd distributed?

325

What is cluster mode in spark?

319

What is Resilient Distributed Dataset (RDD) in Apache Spark? How does it make spark operator rich?

281

What is dataframe api?

320

What are the features of spark rdd?

286

Where are rdd stored?

289

What is data skew in spark?

299

What is RDD?

483

What is a "Spark Executor"?

349

Does Apache Spark provide checkpoints?

284

What do we mean by Paraquet?

445

What are the cases where Apache Spark surpasses Hadoop?

283

What is coalesce in spark?

289

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