Here are 10 commonly asked interview questions in Spark:
- What is Spark? Explain its architecture and components.
- What is the difference between MapReduce and Spark? When would you use one over the other?
- What is RDD in Spark? Explain its properties and transformations.
- What is lazy evaluation in #Spark? How does it impact performance?
- What is a data frame in #Spark? How is it different from an RDD?
- Explain the concept of partitioning in Spark.
- What is Spark SQL? How is it used?
- What is a Spark cluster? How does it differ from a Hadoop cluster?
- What is Spark Streaming? How does it work?
- What are the benefits of using Spark over other data processing frameworks?
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