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Databricks Certified Data Engineer - Associate

Databricks Certified Data Engineer - Associate

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A Delta Live Table (DLT) pipeline has been configured for a data engineering task. The pipeline includes two datasets defined using STREAMING LIVE TABLE, which allows real-time data ingestion, and three other datasets that are sourced from Delta Lake tables using LIVE TABLE. The pipeline is set to run in Development mode utilizing Continuous Pipeline Mode. Development mode means that Delta Live Tables will persistently update datasets at regular intervals, continuously processing incoming data until manually stopped or shut down. It's crucial to note that in this mode, the compute resources, such as the cluster used for processing, persist without automatic restarts or retries. This setup supports continuous data processing, further testing, or ongoing data processing tasks until explicitly terminated by the user. Assuming there is previously unprocessed data and all dataset definitions are correct, what would be the expected result after clicking the Start button to update the pipeline?

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