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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-deploy-and-where.md
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@@ -581,18 +581,19 @@ az ml model deploy -m mymodel:1 --ic inferenceconfig.json --dc deploymentconfig.
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For more information, see the [az ml model deploy](https://docs.microsoft.com/cli/azure/ext/azure-cli-ml/ml/model?view=azure-cli-latest#ext-azure-cli-ml-az-ml-model-deploy) documentation.
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> [!IMPORTANT]
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> During model deployment, you may see the service state change while it fully deploys. Certain states are considered non-terminal and may change as the deployment continues to process.
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>
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> The following table describes the different service states:
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>| Webservice state | Description | Terminal
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>|-----|-----|-----|
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>| Transitioning | The service isin the process of deployment. | No |
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>| Unhealthy | The service has deployed but is currently unreachable. | No |
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>| Unschedulable | The service cannot be deployed at this time due to lack of resources. | No |
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>| Failed | The service has failed to deploy due to an error or crash. | Yes |
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>| Healthy | The service is healthy and the endpoint is available. | Yes |
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#### Understanding service state
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During model deployment, you may see the service state change while it fully deploys. Certain states are considered non-terminal and may change as the deployment continues to process.
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The following table describes the different service states:
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| Webservice state | Description | IsTerminal
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|-----|-----|-----|
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| Transitioning | The service isin the process of deployment. | No |
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| Unhealthy | The service has deployed but is currently unreachable. | No |
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| Unschedulable | The service cannot be deployed at this time due to lack of resources. | No |
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| Failed | The service has failed to deploy due to an error or crash. | Yes |
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| Healthy | The service is healthy and the endpoint is available. | Yes |
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### <a id="notebookvm"></a> Compute instance web service (dev/test)
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