In data pipeline monitoring, ________ is the process of identifying and analyzing deviations from expected behavior.

Anomaly detection in data pipeline monitoring involves identifying and analyzing deviations from the expected behavior of the pipeline. This process often employs statistical techniques, machine learning algorithms, or predefined rules to detect unusual patterns or outliers in the data flow, which may indicate errors, bottlenecks, or data quality issues within the pipeline.