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?

306

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

351

Explain in brief what is the architecture of Spark?

280

What is Spark DataFrames?

252

In how many ways can we use Spark over Hadoop?

305

Explain Machine Learning library in Spark?

267

Explain about transformations and actions in the context of RDDs.

326

Explain the difference between Spark SQL and Hive.

358

Explain Catalyst framework?

337

What are the downsides of Spark?

334

What is the need for Spark DAG?

288

What is broadcast variable?

344

Why does the picture of Spark come into existence?

289

How can we launch Spark application on YARN?

407

Explain catalyst query optimizer in Apache Spark?

300

Post New Apache Spark Questions

Un-Answered Questions { Apache Spark }

Does Spark provide the storage layer too?

258

What is a worker node in Apache Spark?

277

How can apache spark be used alongside hadoop?

1791

Why do we need spark?

260

What is the advantage of a Parquet file?

307

What is map side join?

285

What is difference between dataset and dataframe in spark?

300

Can spark work without hadoop?

311

Is spark better than mapreduce?

257

Is apache spark in demand?

251

What are features of apache spark?

306

Explain the default level of parallelism in Apache Spark

297

What is Spark Core?

275

What is SparkSession in Apache Spark?

271

Why do we use spark?

314

For More Un-Answered { Apache Spark } Questions Click Here