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Topic :: Apache Spark





Apache Spark Interview Questions
Questions Answers Views Company eMail

How can data transfer be minimized when working with Apache Spark?

 285

What do you mean by Speculative execution in Apache Spark?

 272

Explain about the different cluster managers in Apache Spark

 316

Explain Spark Executor

 264

Explain the level of parallelism in Spark Streaming? Also, describe its need.

 295

What are the various storages from which Spark can read data?

 336

What is the difference between Caching and Persistence in Apache Spark?

 296

Name some companies that are already using Spark Streaming?

 238

What is Spark Streaming?

 281

What is Spark Dataset?

 307

Why is there a need for broadcast variables when working with Apache Spark?

 283

What is the abstraction of Spark Streaming?

 251

Does Spark provide the storage layer too?

 260

What are the advantages of datasets in spark?

 260

What are the common faults of the developer while using Apache Spark?

 270



Related Topics


Un-Answered Questions { Apache Spark }

What are Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift?

574

Hadoop uses replication to achieve fault tolerance. How is this achieved in Apache Spark?

398

Does Apache Spark provide check pointing?

394

Explain about the popular use cases of Apache Spark

406

Why is Apache Spark faster than Apache Hadoop?

786

Compare Apache Hadoop and Apache Spark?

409

What is Apache Spark?

343

explain the key features of Apache Spark?

322

How is Apache Spark better than Hadoop?

292

Explain the term paired RDD in Apache Spark?

377

Which all languages Apache Spark supports?

323

explain the concept of RDD (Resilient Distributed Dataset). Also, state how you can create RDDs in Apache Spark.

388

What are the types of Apache Spark transformation?

271

Why Apache Spark?

302

Explain transformation and action in RDD in Apache Spark?

283