Question

Which spark RDD operation creates a directed acyclic graph through lazy evaluations?

A. Transformation
B. Action
C. Persistence
D. Lineage

Answer 1

The RDD operation that creates a directed acyclic graph through lazy evaluations is Transformation. Transformations are lazy operations that define a new RDD, with actual computation deferred until an Action triggers the DAG execution.

Step-by-step explanation:

The RDD (Resilient Distributed Dataset) operation that creates a directed acyclic graph through lazy evaluations is A. Transformation. Transformations are functions that take an RDD as input and produce one or more RDDs as output. They do not compute their results right away. Instead, they construct a new RDD by applying the transformation to the input. This process is lazy because Spark does not immediately execute transformations; they are only executed when an Action is called, which triggers the execution of the entire sequence of transformations, culminating in the desired action being performed on the dataset. Consequently, transformations contribute to the creation of a directed acyclic graph (DAG), which outlines the sequence of computations that will be performed on the RDDs once an Action is invoked.