A data engineer is editing a production Lakeflow Job in which the notebook task B already depends on the notebook task D. To make the two steps verify each other's output, the engineer adds a dependency in the opposite direction, configuring task D to depend on task B as well, and clicks Save. What is the result?

1. A. The cycle is accepted, and the two tasks re-run in a loop until both finally succeed 💬 A
2. B. The cycle is accepted, but the loop executes only once per run, after which the job continues with the downstream tasks 💬 B
3. C. The dependency is accepted because both tasks are notebooks, and notebook tasks are allowed to close dependency cycles 💬 C
4. D. The configuration is rejected: task dependencies must form a directed acyclic graph, and a cycle cannot be saved ✓ D

Reveal answer

Correct answer: The configuration is rejected: task dependencies must form a directed acyclic graph, and a cycle cannot be saved

Reference: https://docs.databricks.com/aws/en/jobs/configure-task