Problem
Scenario
You are responsible for an automated workflow that moves and transforms operational data across internal systems. The workflow normally runs without much manual intervention, but you want a clear approach for when failures start happening repeatedly and affect a large number of records or downstream users.
Question
What would you do if an automated workflow started creating errors at scale?
What to Look For
- Ability to stop bad data propagation quickly
- Use of orchestration controls and dependency management
- Data quality triage and blast-radius assessment
- Idempotent replay and safe rollback planning
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