Delta Live Tables is a framework specifically designed for building reliable, maintainable, and testable data processing pipelines. It allows you to define transformations for your data and takes care of task orchestration, cluster management, monitoring, data quality, and error handling. Unlike defining data pipelines with separate Apache Spark tasks, Delta Live Tables manages data transformations based on a target schema you define for each processing step. Additionally, it enables data quality enforcement through expectations, allowing you to define expected data quality and specify how to handle records that do not meet those expectations. Therefore, the correct answer is Delta Live Tables. Learn More: Delta Live Tables