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Answer: Establishing a temporary view on the event log path and querying this view to obtain specific metrics.
The correct approach is to create a temporary view on the event log path and query this view for specific metrics. This method leverages the Delta Live Tables event log, which is a Delta Lake table containing detailed records of pipeline executions, including metrics, updates, and errors. By creating a temporary view, you can utilize SQL queries to precisely filter, aggregate, and analyze the event log data, offering both flexibility and power in monitoring pipeline performance. Other options either lack the granularity and customization possible with SQL queries or are inefficient for analyzing large datasets.
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To effectively monitor the performance and status of Delta Live Tables (DLT) pipelines, which method provides the ability to query the event log for detailed metrics and update history?
A
Directly accessing the DLT UI for real-time metrics without the need for querying.
B
Querying the Delta Lake table directly for pipeline metrics, bypassing the event log.
C
Executing the command SELECT * FROM event_log to fetch all entries from the event log.
D
Establishing a temporary view on the event log path and querying this view to obtain specific metrics.
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