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Topic :: Apache Spark





Apache Spark Interview Questions
Questions Answers Views Company eMail

What are common uses of Apache Spark?

 295

In a very huge text file, you want to just check if a particular keyword exists. How would you do this using Spark?

 402

How is fault tolerance achieved in Apache Spark?

 305

How does Apache Spark handles accumulated Metadata?

 348

What is lazy evaluation in Spark?

 317

What is the use of checkpoints in spark?

 319

How can Spark be connected to Apache Mesos?

 327

What makes Apache Spark good at low-latency workloads like graph processing and machine learning?

 328

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

 370

Explain in brief what is the architecture of Spark?

 312

What is Spark DataFrames?

 274

In how many ways can we use Spark over Hadoop?

 326

Explain Machine Learning library in Spark?

 285

Explain the difference between Spark SQL and Hive.

 390

What are the downsides of Spark?

 352



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?

317

Explain transformation and action in RDD in Apache Spark?

296