Question

A data engineer is building a Lakeflow Job with four tasks. Task A ingests raw data. Tasks B and C both perform independent transformations that each depend only on Task A's output. Task D aggregates the results and must only run after both B and C have completed successfully. How should the engineer configure the task dependencies to achieve this orchestration?

Accepted Answer

Set B and C to depend on A, and set D to depend on both B and C.

Answer

Set B to depend on A, C to depend on B, and D to depend on C, forming a single linear chain.

Answer

Set all four tasks with no dependencies so they run in parallel and finish faster.

Answer

Set D to depend only on A, since A triggers the entire downstream flow.