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Answer: Set a dynamic schedule based on data update frequency
Scheduling a data pipeline in Fabric involves setting a dynamic schedule based on data update frequency. This ensures that the pipeline runs when new data is available, maintaining data freshness. Factors to consider include the frequency of data updates, the time required for pipeline execution, and the impact on downstream processes.
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Scheduling data pipelines is crucial for maintaining data freshness. Describe the process of scheduling a data pipeline in Fabric and discuss the factors you would consider when setting the frequency and timing of the pipeline execution.
A
Set a fixed schedule based on peak usage times
B
Set a dynamic schedule based on data update frequency
C
Set a manual trigger for pipeline execution
D
None of the above