Explanation:
The optimal solution is A, configuring data acquisition devices to publish data to Cloud Pub/Sub. This approach leverages a fully managed service for reliable, scalable, and durable event delivery without the overhead of managing additional infrastructure.
Cloud Pub/Sub ensures at-least-once delivery of events, even during network disruptions, making it the most efficient and cost-effective choice for improving event delivery reliability.
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As a logistics company operator aiming to enhance the reliability of event delivery from vehicle-based sensors, you're facing challenges with the current setup. Small, globally distributed data centers capture these events, but the leased lines connecting to event processing infrastructure introduce unpredictable latency. What's the most cost-effective solution to this problem?
A
Set up the data acquisition devices to send data directly to Cloud Pub/Sub.
B
Deploy small Kafka clusters within your data centers to temporarily hold events.
C
Create a Cloud Interconnect linking all remote data centers with Google.
D
Build a Cloud Dataflow pipeline designed to aggregate data using session windows.
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