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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?

 308

What do you mean by Speculative execution in Apache Spark?

 312

Explain about the different cluster managers in Apache Spark

 349

Explain Spark Executor

 292

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

 343

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

 354

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

 335

Name some companies that are already using Spark Streaming?

 282

What is Spark Streaming?

 311

What is Spark Dataset?

 337

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

 321

What is the abstraction of Spark Streaming?

 274

Does Spark provide the storage layer too?

 291

What are the advantages of datasets in spark?

 294

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

 303



Related Topics


Un-Answered Questions { Apache Spark }

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

662

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

428

Does Apache Spark provide check pointing?

415

Explain about the popular use cases of Apache Spark

436

Why is Apache Spark faster than Apache Hadoop?

873

Compare Apache Hadoop and Apache Spark?

474

What is Apache Spark?

387

explain the key features of Apache Spark?

353

How is Apache Spark better than Hadoop?

311

Explain the term paired RDD in Apache Spark?

419

Which all languages Apache Spark supports?

357

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

424

What are the types of Apache Spark transformation?

304

Why Apache Spark?

335

Explain transformation and action in RDD in Apache Spark?

303