Exam Certified Associate Developer for Apache Spark topic 1 question 129 discussion

C. Stage In Spark, a stage represents a sequence of narrow transformations that can be executed without shuffling the entire data across partitions. Narrow transformations are those where each partition of the parent RDD contributes to only one partition of the child RDD. Spark groups as many narrow transformations as possible into a single stage, and these operations are pipelined together to optimize performance. A stage is completed before the next stage begins, and usually, a shuffle operation would define the boundary between stages.