Which service enables devices to act locally on the data they generate, run predictions based on machine learning models, and filter and aggregate device data?

• A. AWS IoT Things Graph
• B. AWS IoT 1-Click
• C. AWS IoT Greengrass
• D. AWS IoT Events

Answer: (C)

Edge computing with on-device processing is the idea here: devices should act on what they generate, run ML predictions locally, and filter or aggregate data before sending it on. AWS IoT Greengrass fits this use case, because it lets devices run compute and ML at the edge. You can execute Lambda functions and ML inferences directly on the device, apply filters and aggregations to the data, and take actions even when connectivity to the cloud is limited or unavailable. This reduces latency and bandwidth, and enables offline operation.

Other services are more cloud-centric or focused on different aspects: modeling device workflows, simple provisioning, or cloud-based event detection, rather than providing robust edge compute, local ML inference, and on-device data filtering. AWS IoT Greengrass is the one that provides the local, on-device intelligence described.