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Answer: The `withWatermark` method allows for the handling of late-arriving data in streaming queries.
The `withWatermark` method is specifically designed to handle late-arriving data in streaming queries, ensuring data processing is both accurate and efficient. For more details, refer to the documentation on Handling late-arriving Data in Spark Streaming.
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How is the withWatermark method utilized in a streaming job?
A
withWatermark method is utilized for adding watermarks to streaming tables to enhance fault tolerance.
B
The withWatermark method allows for the handling of late-arriving data in streaming queries.
C
Using withWatermark can speed up join operations within a streaming application.
D
The withWatermark method can manage both the late creation and arrival of data.
E
Transformations on both early and late-arriving data are made possible with the withWatermark method.