Databricks Certified Data Engineer - Professional
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When streaming from a multiplexed Bronze table containing multiple event types, which of the following architectural best practices ensures the most efficient downstream processing and reduced I/O overhead?
A
Configuring a fixed batch size for all streaming micro-batches to stabilize throughput.
B
Utilizing event type columns to filter data subsets before executing downstream logic.
C
Disabling schema evolution in the Bronze table to prevent metadata overhead.
D
Refactoring the ingestion pipeline to write each event type into its own isolated table.