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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?

 289

What do you mean by Speculative execution in Apache Spark?

 276

Explain about the different cluster managers in Apache Spark

 318

Explain Spark Executor

 272

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

 299

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

 336

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

 298

Name some companies that are already using Spark Streaming?

 243

What is Spark Streaming?

 285

What is Spark Dataset?

 309

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

 289

What is the abstraction of Spark Streaming?

 255

Does Spark provide the storage layer too?

 264

What are the advantages of datasets in spark?

 262

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

 272



Related Topics


Un-Answered Questions { Apache Spark }

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

582

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

402

Does Apache Spark provide check pointing?

398

Explain about the popular use cases of Apache Spark

410

Why is Apache Spark faster than Apache Hadoop?

792

Compare Apache Hadoop and Apache Spark?

412

What is Apache Spark?

352

explain the key features of Apache Spark?

326

How is Apache Spark better than Hadoop?

294

Explain the term paired RDD in Apache Spark?

380

Which all languages Apache Spark supports?

330

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

391

What are the types of Apache Spark transformation?

275

Why Apache Spark?

305

Explain transformation and action in RDD in Apache Spark?

285