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Apache Spark Interview Questions
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Which all languages Apache Spark supports?

 238

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

 291

What advantages does Spark offer over Hadoop MapReduce?

 209

Why is Spark RDD immutable?

 215

What are the types of Apache Spark transformation?

 196

What is Spark Core?

 199

Why Apache Spark?

 221

Explain transformation and action in RDD in Apache Spark?

 205

How can we create RDD in Apache Spark?

 206

What is SparkSession in Apache Spark?

 197

What is the Difference SparkSession vs SparkContext in Apache Spark?

 253

What are the abstractions of Apache Spark?

 226

What is SparkContext in Apache Spark?

 214

What are the components of Apache Spark Ecosystem?

 265

Explain the RDD properties?

 216

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Un-Answered Questions { Apache Spark }

Explain Spark Executor

186

What is a worker node in Apache Spark?

202

Define fold() operation in Apache Spark?

196

Explain a scenario where you will be using spark streaming.

1330

Explain how can spark be connected to apache mesos?

201




If there is certain data that we want to use again and again in different transformations, what should improve the performance?

213

What is the spark driver?

201

What is the driver program in spark?

181

What is spark application?

210

What is an "RDD Lineage"?

192

What languages support spark?

201

What is deploy mode in spark?

204

What is the difference between client mode and cluster mode in spark?

203

Explain the difference between Spark SQL and Hive.

239

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

213

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