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Model Deploy tasks parameters in tables
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‎docs/getting_started.md‎

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@@ -166,14 +166,37 @@ Add an artifact to the pipeline and select **AzureML Model Artifact** source typ
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![model artifact](./images/model-artifact.png)
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Create a stage **QA (ACI)** and add a single task to the job **Azure ML Model Deploy**. Specify task parameters as it is shown below:
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Create a stage **QA (ACI)** and add a single task to the job **Azure ML Model Deploy**:
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![deploy aci](./images/deploy-aci.png)
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In a similar way create a stage **Prod (AKS** and add a single task to the job **Azure ML Model Deploy**. Specify task parameters as it is shown below:
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Specify task parameters as it is shown in the table below:
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| Parameter | Value |
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| --- | --- |
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| Display Name | Azure ML Model Deploy |
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| Azure ML Workspace | mlops-AML-WS |
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| Inference config Path | `$(System.DefaultWorkingDirectory)/_ci-build/mlops-pipelines/code/scoring/inference_config.yml` |
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| Model Deployment Target | Azure Container Instance |
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| Deployment Name | mlopspython-aci |
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| Deployment Configuration file | `$(System.DefaultWorkingDirectory)/_ci-build/mlops-pipelines/code/scoring/deployment_config_aci.yml` |
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| Overwrite existing deployment | X |
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In a similar way create a stage **Prod (AKS** and add a single task to the job **Azure ML Model Deploy**:
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![deploy aks](./images/deploy-aks.png)
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Specify task parameters as it is shown in the table below:
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| Parameter | Value |
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| --- | --- |
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| Display Name | Azure ML Model Deploy |
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| Azure ML Workspace | mlops-AML-WS |
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| Inference config Path | `$(System.DefaultWorkingDirectory)/_ci-build/mlops-pipelines/code/scoring/inference_config.yml` |
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| Model Deployment Target | Azure Kubernetes Service |
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| Select AKS Cluster for Deployment | YOUR_DEPLOYMENT_K8S_CLUSTER |
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| Deployment Name | mlopspython-aks |
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| Deployment Configuration file | `$(System.DefaultWorkingDirectory)/_ci-build/mlops-pipelines/code/scoring/deployment_config_aks.yml` |
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| Overwrite existing deployment | X |
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**Note:** Creating of a Kubernetes cluster on AKS is out of scope of this tutorial, so you should take care of it on your own.
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