A senior Azure data engineering interview rarely tests syntax alone. The interviewer wants to know how decisions hold up when a pipeline fails at 2:00 am, a finance report is late, a Spark job runs out of memory, or a regional outage affects a data platform used across countries. Scenario-based questions reveal how well a candidate thinks about recovery, scale, cost, data quality, governance, and business impact. The best answers are practical. They explain the design, the tr