Knowledge Check

Dependency graph evidence

While reviewing ML training pipelines, evaluation begins before training completes. Which action fixes it, and which check proves it worked?

What this task practices

Dependency graph evidence is a knowledge check interview exercise that trains prompt interpretation, explicit assumptions, a concrete response, and a clear explanation of tradeoffs. The catalog marks it as hard difficulty. It focuses on ML Training Pipelines, Dependency Graph. The signed-in workspace provides the tools for the round and evaluates the attempt against task-specific criteria. Reference solutions, hidden checks, evaluator instructions, and candidate work remain private.