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Merge pull request #223847 from santiagxf/santiagxf/mlflow-moe-patch
Update how-to-deploy-mlflow-models-online-endpoints.md
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articles/machine-learning/how-to-deploy-mlflow-models-online-endpoints.md

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:::image type="content" source="media/how-to-deploy-mlflow-models-online-endpoints/review-screen-ncd.png" lightbox="media/how-to-deploy-mlflow-models-online-endpoints/review-screen-ncd.png" alt-text="Screenshot showing NCD review screen":::
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1. Assign all the traffic to the deployment
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So far, the endpoint has one deployment, but none of its traffic is assigned to it. Let's assign it.
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1. Assign all the traffic to the deployment: So far, the endpoint has one deployment, but none of its traffic is assigned to it. Let's assign it.
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# [Azure CLI](#tab/cli)
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*This step in not required in the Azure CLI since we used the `--all-traffic` during creation.*
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*This step in not required in the Azure CLI since we used the `--all-traffic` during creation. If you need to change traffic, you can use the command `az ml online-endpoint update --traffic` as explained at [Progressively update traffic](how-to-deploy-mlflow-models-online-progressive.md#progressively-update-the-traffic).*
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# [Python (Azure ML SDK)](#tab/sdk)
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# [Azure CLI](#tab/cli)
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*This step in not required in the Azure CLI since we used the `--all-traffic` during creation.*
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*This step in not required in the Azure CLI since we used the `--all-traffic` during creation. If you need to change traffic, you can use the command `az ml online-endpoint update --traffic` as explained at [Progressively update traffic](how-to-deploy-mlflow-models-online-progressive.md#progressively-update-the-traffic).*
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# [Python (Azure ML SDK)](#tab/sdk)
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