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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?

 295

What do you mean by Speculative execution in Apache Spark?

 299

Explain about the different cluster managers in Apache Spark

 327

Explain Spark Executor

 282

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

 326

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

 340

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

 321

Name some companies that are already using Spark Streaming?

 268

What is Spark Streaming?

 297

What is Spark Dataset?

 327

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

 308

What is the abstraction of Spark Streaming?

 263

Does Spark provide the storage layer too?

 278

What are the advantages of datasets in spark?

 277

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

 283



Related Topics


Un-Answered Questions { Apache Spark }

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

622

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

408

Does Apache Spark provide check pointing?

402

Explain about the popular use cases of Apache Spark

426

Why is Apache Spark faster than Apache Hadoop?

842

Compare Apache Hadoop and Apache Spark?

445

What is Apache Spark?

369

explain the key features of Apache Spark?

335

How is Apache Spark better than Hadoop?

300

Explain the term paired RDD in Apache Spark?

403

Which all languages Apache Spark supports?

345

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

411

What are the types of Apache Spark transformation?

287

Why Apache Spark?

318

Explain transformation and action in RDD in Apache Spark?

296