Exam Certified Associate Developer for Apache Spark topic 1 question 121 discussion

Explanation In Apache Spark, operations are classified as transformations and actions: Transformations (Lazy Evaluation) → They define a logical plan but do not trigger execution. Actions (Trigger Evaluation) → They cause Spark to execute the transformations and return a result. Analysis of Each Option A. DataFrame.collect() → Action → Brings all data to the driver, triggering execution. B. DataFrame.count() → Action → Computes the number of rows, triggering execution. C. DataFrame.first() → Action → Returns the first row, triggering execution. D. DataFrame.join() → Transformation → Defines a new DataFrame but does not trigger execution. E. DataFrame.take() → Action → Returns a limited number of rows, triggering execution.

Join is a tranformation so it will not throw results, while others are actions, so Join() is correct