Which AWS service processes IoT data by filtering, transforming, and enriching it before storing for analysis?

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Multiple Choice

Which AWS service processes IoT data by filtering, transforming, and enriching it before storing for analysis?

Explanation:
IoT Analytics is built to take IoT data and run it through pipelines that filter, transform, and enrich the data before it’s stored for analysis. You can filter out unwanted or noisy data, apply transformations to normalize formats or units, and add enrichment like device metadata or computed fields. Once processed, the data is stored in a data store or data lake where you can run analyses with datasets and queries or export it for further analytics. This aligns with the typical IoT data workflow: devices send data to a gateway, IoT Core handles secure ingestion and routing, and IoT Analytics handles the downstream processing, storage, and analysis. The other services serve different roles—IoT Core focuses on ingestion and routing, API Gateway exposes APIs, and IoT Device Management handles fleet provisioning and device management rather than data processing for analysis.

IoT Analytics is built to take IoT data and run it through pipelines that filter, transform, and enrich the data before it’s stored for analysis. You can filter out unwanted or noisy data, apply transformations to normalize formats or units, and add enrichment like device metadata or computed fields. Once processed, the data is stored in a data store or data lake where you can run analyses with datasets and queries or export it for further analytics.

This aligns with the typical IoT data workflow: devices send data to a gateway, IoT Core handles secure ingestion and routing, and IoT Analytics handles the downstream processing, storage, and analysis. The other services serve different roles—IoT Core focuses on ingestion and routing, API Gateway exposes APIs, and IoT Device Management handles fleet provisioning and device management rather than data processing for analysis.

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