The most efficient strategy in this scenario is to utilize the Databricks REST API to programmatically revert the deployed notebooks to a previous commit known to be stable. This approach ensures a quick and automated rollback process, minimizing downtime and reducing the risk of human error. It allows for precise identification and reversion to the specific commit that caused the issue, ensuring the data pipeline is restored to its previous working state without further impacting downstream analytics. This method is more controlled and systematic compared to manual reversion, offering a reliable solution to quickly resolve deployment issues.