You currently have a single on-premises Kafka cluster in a data center in the us-east region that is responsible for ingesting messages from IoT devices globally. Because large parts of globe have poor internet connectivity, messages sometimes batch at the edge, come in all at once, and cause a spike in load on your Kafka cluster. This is becoming difficult to manage and prohibitively expensive. What is the Google-recommended cloud native architecture for this scenario?
A) Edge TPUs as sensor devices for storing and transmitting the messages.
B) Cloud Dataflow connected to the Kafka cluster to scale the processing of incoming messages.
C) An IoT gateway connected to Cloud Pub/Sub, with Cloud Dataflow to read and process the messages from Cloud Pub/Sub.
D) A Kafka cluster virtualized on Compute Engine in us-east with Cloud Load Balancing to connect to the devices around the world.

Question

Quizplus · Accepted Answer

Using an IoT gateway connected to Cloud Pub/Sub allows for scalable and reliable message ingestion from IoT devices globally. Cloud Dataflow can then be used to process these messages efficiently. This architecture leverages Google's cloud-native services to handle spikes in load and provides a cost-effective solution.

You Currently Have a Single On-Premises Kafka Cluster in a Data