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A Databricks data engineering team operates a Delta Live Tables (DLT) pipeline that updates all tables once and then stops, while keeping the compute resources running for quick testing. Which execution mode best describes this DLT pipeline?
A Databricks data engineering team operates a Delta Live Tables (DLT) pipeline that updates all tables once and then stops, while keeping the compute resources running for quick testing. Which execution mode best describes this DLT pipeline?
Real Exam
Explanation:
Triggered pipelines process available data for each table and then terminate. Development mode facilitates the development process by reusing clusters to minimize restart overhead, with clusters remaining active for two hours. It also disables pipeline retries for immediate error detection and correction. For more information, refer to the Delta Live Tables documentation.