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Topic :: Apache Spark





Apache Spark Interview Questions
Questions Answers Views Company eMail

What are common uses of Apache Spark?

 311

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

 416

How is fault tolerance achieved in Apache Spark?

 324

How does Apache Spark handles accumulated Metadata?

 367

What is lazy evaluation in Spark?

 331

What is the use of checkpoints in spark?

 326

How can Spark be connected to Apache Mesos?

 342

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

 342

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

 392

Explain in brief what is the architecture of Spark?

 324

What is Spark DataFrames?

 296

In how many ways can we use Spark over Hadoop?

 350

Explain Machine Learning library in Spark?

 303

Explain the difference between Spark SQL and Hive.

 402

What are the downsides of Spark?

 375



Related Topics


Un-Answered Questions { Apache Spark }

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

677

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

428

Does Apache Spark provide check pointing?

417

Explain about the popular use cases of Apache Spark

436

Why is Apache Spark faster than Apache Hadoop?

882

Compare Apache Hadoop and Apache Spark?

485

What is Apache Spark?

390

explain the key features of Apache Spark?

359

How is Apache Spark better than Hadoop?

311

Explain the term paired RDD in Apache Spark?

421

Which all languages Apache Spark supports?

359

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

426

What are the types of Apache Spark transformation?

306

Why Apache Spark?

335

Explain transformation and action in RDD in Apache Spark?

307