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Topic :: Apache Spark





Apache Spark Interview Questions
Questions Answers Views Company eMail

What are common uses of Apache Spark?

 277

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

 390

How is fault tolerance achieved in Apache Spark?

 289

How does Apache Spark handles accumulated Metadata?

 332

What is lazy evaluation in Spark?

 304

What is the use of checkpoints in spark?

 307

How can Spark be connected to Apache Mesos?

 314

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

 310

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

 355

Explain in brief what is the architecture of Spark?

 285

What is Spark DataFrames?

 257

In how many ways can we use Spark over Hadoop?

 310

Explain Machine Learning library in Spark?

 272

Explain the difference between Spark SQL and Hive.

 358

What are the downsides of Spark?

 336



Related Topics


Un-Answered Questions { Apache Spark }

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

579

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

400

Does Apache Spark provide check pointing?

396

Explain about the popular use cases of Apache Spark

408

Why is Apache Spark faster than Apache Hadoop?

789

Compare Apache Hadoop and Apache Spark?

411

What is Apache Spark?

351

explain the key features of Apache Spark?

324

How is Apache Spark better than Hadoop?

292

Explain the term paired RDD in Apache Spark?

380

Which all languages Apache Spark supports?

328

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?

274

Why Apache Spark?

305

Explain transformation and action in RDD in Apache Spark?

285