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In the context of using Pandas API on Spark, explain the concept of 'lazy evaluation' and its significance in optimizing the performance of data processing tasks.
A
Lazy evaluation is not applicable to Pandas API on Spark, as it is a concept specific to native Spark operations.
B
Lazy evaluation in Pandas API on Spark means that operations are executed immediately when they are called, without any optimization.
C
Lazy evaluation in Pandas API on Spark means that operations are queued and executed only when necessary, allowing for optimization of the execution plan.
D
Lazy evaluation in Pandas API on Spark means that operations are always executed in a distributed manner, regardless of their complexity.