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Larry Franksjuliakm
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Update articles/machine-learning/how-to-setup-mlops-azureml.md
Co-authored-by: Julia Kulla-Mader <[email protected]>
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articles/machine-learning/how-to-setup-mlops-azureml.md

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@@ -228,7 +228,7 @@ This step deploys the training pipeline to the Azure Machine Learning workspace
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![Screenshot of ADO Pipeline page on configure step.](./media/how-to-setup-mlops-azureml/ADO-configure-pipelines.png)
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1. Select your working branch (or the `main` branch) and choose `mlops/devops-pipelines/cli-ado-deploy-infra.yml`, then select **Continue**.
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1. Select the `main` branch and choose `mlops/devops-pipelines/cli-ado-deploy-infra.yml`, then select **Continue**.
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1. Run the pipeline; it will take a few minutes to finish. The pipeline should create the following artifacts:
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* Resource Group for your Workspace including Storage Account, Container Registry, Application Insights, Keyvault and the Azure Machine Learning Workspace itself.

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