Delta Live Table supports the data quality checks via expectations. On encountering invalid records you can choose to either retain them, drop them or fail/stop the pipeline. See the link below for additional details
https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#pub...
