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Answer: All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.
In Continuous Pipeline Mode, the pipeline continuously processes incoming data updates at set intervals in Production mode. This ensures that the datasets are kept up-to-date as new data arrives. The compute resources are allocated dynamically to process and update the datasets as needed and will be terminated when the pipeline is stopped. This mode allows for ongoing updates to the datasets from the STREAMING LIVE TABLE and LIVE TABLE sources, ensuring that the data remains current and reflects the changes from the data sources. Thus, option C is the correct answer.
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In setting up a Delta Live Table (DLT) pipeline for a data engineering task, you have utilized STREAMING LIVE TABLE to define two datasets that will process real-time data streams and LIVE TABLE to define three datasets sourced from Delta Lake tables. The pipeline is configured to execute in Production mode using the Continuous Pipeline Mode. Given that there is previously unprocessed data available and all table definitions are correct, what would be the expected result upon initiating the pipeline update by clicking Start?
A
All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
B
All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
C
All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.
D
All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
E
All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.