Answer: Delta Live Tables

Delta Live Tables is the correct tool for automating data quality monitoring in data pipelines. It provides several key features: 1. **Data Quality Expectations**: Delta Live Tables allows data engineers to define expectations (constraints) on data quality that are automatically validated during pipeline execution. 2. **Automated Monitoring**: When expectations fail, Delta Live Tables can be configured to take actions such as quarantining bad records, failing the pipeline, or logging issues. 3. **Data Lineage Tracking**: It tracks data lineage throughout the pipeline, helping identify where quality issues originate. 4. **Alerting**: Can send alerts when data quality checks fail, enabling proactive monitoring. 5. **Declarative Framework**: Provides a declarative approach to building and managing data pipelines with built-in quality controls. **Why other options are incorrect**: - **Unity Catalog**: Primarily for data governance, access control, and metadata management, not specifically for automated data quality monitoring. - **Data Explorer**: A tool for exploring and visualizing data, not for automated quality monitoring. - **Delta Lake**: Provides ACID transactions and schema enforcement but doesn't have built-in automated quality monitoring features like Delta Live Tables. - **Auto Loader**: Automates file ingestion but doesn't include comprehensive data quality monitoring capabilities. Delta Live Tables' expectations feature specifically addresses the requirement to automate quality monitoring as data flows through the pipeline.

Author: Keng Suppaseth