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Apache Spark Interview Questions
Questions Answers Views Company eMail

How Spark uses Hadoop?

 199

What is a DStream?

 238

What are the various data sources available in SparkSQL?

 217

Explain about the core components of a distributed Spark application?

 205

What are the benefits of using Spark with Apache Mesos?

 170

What are the common mistakes developers make when running Spark applications?

 203

When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?

 241

What is the significance of Sliding Window operation?

 212

Why is BlinkDB used?

 218

What is the advantage of a Parquet file?

 217

What are the key features of Apache Spark that you like?

 259

What do you understand by SchemaRDD?

 223

How can you achieve high availability in Apache Spark?

 288

Define a worker node?

 239

Name a few companies that use Apache Spark in production?

 249

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Un-Answered Questions { Apache Spark }

Where are rdd stored?

196

When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?

241

How is spark different from hadoop?

201

What is difference between coalesce and repartition?

204

What is aws spark?

194




What does MLlib do?

178

Explain Spark coalesce() operation?

190

What is spark tool?

171

What is dag spark?

197

Can you explain spark graphx?

218

What is meant by rdd in spark?

176

How does spark rdd work?

195

what do you mean by the worker node?

216

What are broadcast variables in Apache Spark? Why do we need them?

196

What is Sparse Vector?

251

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