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How would you architect a data processing pipeline that automatically scales with increasing load, ensures at-least-once message processing, and preserves message order within 1-hour intervals?
A
Leverage Cloud Pub/Sub for message ingestion and Cloud Dataflow for streaming analysis.
B
Employ Apache Kafka for message ingestion and Cloud Dataproc for streaming analysis.
C
Utilize Apache Kafka for message ingestion and Cloud Dataflow for streaming analysis.
D
Adopt Cloud Pub/Sub for message ingestion and Cloud Dataproc for streaming analysis.
