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Apache Spark Interview Questions
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Why is transformation lazy operation in Apache Spark RDD? How is it useful?

 203

Explain fullOuterJoin() operation in Apache Spark?

 200

How many partitions are created by default in Apache Spark RDD?

 214

Explain coalesce operation in Apache Spark?

 232

Explain the level of parallelism in spark streaming?

 208

Explain join() operation in Apache Spark?

 234

How to process data using Transformation operation in Spark?

 209

What is Resilient Distributed Dataset (RDD) in Apache Spark? How does it make spark operator rich?

 187

What are the differences between Caching and Persistence method in Apache Spark?

 219

Explain the operation reduce() in Spark?

 189

Explain the lookup() operation in Spark?

 150

Explain the processing speed difference between Hadoop and Apache Spark?

 196

Explain the operation transformation and action in Apache Spark RDD?

 229

Explain Spark join() operation?

 193

How is RDD in Apache Spark different from Distributed Storage Management?

 232

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Un-Answered Questions { Apache Spark }

Is it necessary to install spark on all the nodes of a YARN cluster while running Apache Spark on YARN ?

230

What is the reason behind Transformation being a lazy operation in Apache Spark RDD? How is it useful?

274

Who created spark?

182

How does spark run hadoop?

190

What is spark configuration?

209




Does spark require hadoop?

182

How does rdd work in spark?

186

What is the difference between reducebykey and groupbykey?

201

What is heap memory in spark?

180

List out the various advantages of dataframe over rdd in apache spark?

194

Is there any benefit of learning mapreduce if spark is better than mapreduce?

1721

What database does spark use?

186

Is spark written in java?

202

What is executor memory in a spark application?

226

What is Sparse Vector?

246

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