Scaling up the pipeline resources to handle the increased load caused by the faulty update.

Utilizing version control systems to revert the pipeline's code and configurations to a previous stable version that was functioning correctly before the update.

Deleting the current pipeline and attempting to recreate it from scratch based on documentation, which may not be up-to-date.

Switching to a different data source that is not affected by the update, hoping it resolves the issue without addressing the root cause.