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A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE. The table is configured to run in Development mode using the Continuous Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?
A
All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
B
All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.
C
All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
D
All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
E
All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
Explanation:
Correct Answer: E
This question tests understanding of Delta Live Tables (DLT) pipeline behavior in Development mode with Continuous Pipeline Mode.
Development Mode:
pipelines.clusterShutdown.delay)Continuous Pipeline Mode:
Dataset Types:
STREAMING LIVE TABLE: Processes streaming data continuouslyLIVE TABLE: Processes batch dataThe provided text confirms that in Development mode, Delta Live Tables "reuses a cluster to avoid the overhead of restarts" and clusters "run for two hours when development mode is enabled," supporting the persistence of compute resources for testing purposes.