What is the difference between For Each and Parallel For Each?

For Each: Iterates through a collection sequentially, processing one element at a time. The payload for each iteration is one element; the original payload is restored after the scope. Variables set inside are available outside. Good for ordered processing or when operations depend on previous results. Parallel For Each: Processes all elements simultaneously in parallel threads. maxConcurrency attribute limits simultaneous threads. The result is a collection of all outputs (each element's processed result). Variables set inside are NOT accessible outside. Error handling differs: if one parallel branch fails, it is captured and combined with successful results — by default all branches run. Order of results in the output collection may not match input order. Use For Each for ordered, sequential processing; use Parallel For Each for independent operations where speed is a priority (e.g., calling the same API for many records simultaneously).