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articles/iot/concepts-model-discovery.md

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After you identify the model ID for a new device connection, follow these steps:
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1. Retrieve the model definition using the model ID from the model repository. For more information, see [REsolve models](#resolve-models).
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1. Retrieve the model definition using the model ID from the model repository. For more information, see [Resolve models](#resolve-models).
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1. Using the model definition of the connected device, you can enumerate the capabilities of the device.
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articles/iot/concepts-modeling-guide.md

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IoT Central implements more versioning rules for device models. If you version a device template and its model in IoT Central, you can migrate devices from previous versions to later versions. However, migrated devices can't use new capabilities without a firmware upgrade. To learn more, see [Edit a device template](../iot-central/core/howto-edit-device-template.md).
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### Publish
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As of February 2024, the Azure Certified Device program has been retired. Therefore, Microsoft is no longer accepting submissions of DTDL models to the[Azure IoT plug and play models](https://github.com/Azure/iot-plugandplay-models) repository.
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If you want to set up your own model repository, you can use the [Azure IoT plug and play models tools](https://github.com/Azure/iot-plugandplay-models-tools) repository. This repository includes the code for the `dmr-client` CLI tool that can validate, import, and expand DTDL models. This tool also lets you index model repositories that follow the device model repository conventions.
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## Limits and constraints
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The following list summarizes some key constraints and limits on models:

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