Your question is Monitoring in Data Pipelines. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're working on delivery pipelines and need a clear view of pipeline health after jobs are deployed and scheduled. You want to catch failures early, spot data issues before users do, and make troubleshooting faster across ingestion, transformation, and delivery steps.
What role does monitoring play in a DevOps culture, and which tools do you prefer?