Question: Which of these benefits correspond to business challenges that are addressed by Cloud IoT?
- Cloud IoT provides compute power across the globe at nearline locations.
- Cloud IoT scales with big data workloads so that organizations can collect more data from more devices.
- Cloud IoT facilitates machine learning with actionable insights by processing and analyzing data in real time.
- Cloud IoT enables growth through a better user experience that can increase usage and adoption of a product.
Explanation
Cloud IoT supports connected-device solutions by helping organizations turn device data into useful application and analytics outcomes. Better real-time data from devices can improve product behavior, service responsiveness, and user experience. Improved user experience can increase usage and adoption because products become more responsive to actual customer and device conditions. In Google Cloud architecture, connected devices commonly feed data into Pub/Sub, Dataflow, and BigQuery for processing and insight.
Why the other options are incorrect
Compute power describes compute infrastructure, not the connected-device value of Cloud IoT.
Big data workloads describes data volume handling, but it does not express the business outcome identified here.
Machine learning insights is a possible downstream use, but it is not the specific business challenge represented by this question.
Source for verification
https://docs.cloud.google.com/architecture/connected-devices
https://docs.cloud.google.com/architecture/connected-devices/device-pubsub-architecture
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