Broken link fixed

Author: atikmapari

articles/machine-learning/how-to-machine-learning-interpretability-aml.md

@@ -365,7 +365,7 @@ Follow one of these paths to access the explanations dashboard in Azure Machine
    [![Visualization Dashboard with Aggregate Feature Importance in AzureML studio in experiments](./media/how-to-machine-learning-interpretability-aml/model-explanation-dashboard-aml-studio.png)](./media/how-to-machine-learning-interpretability-aml/model-explanation-dashboard-aml-studio.png#lightbox)
 
 * **Models** pane
-  1. If you registered your original model by following the steps in [Deploy models with Azure Machine Learning](./how-to-deploy-and-where.md), you can select **Models** in the left pane to view it.
+  1. If you registered your original model by following the steps in [Deploy models with Azure Machine Learning](./how-to-deploy-managed-online-endpoints.md), you can select **Models** in the left pane to view it.
   1. Select a model, and then the **Explanations** tab to view the explanations dashboard.
 
 ## Interpretability at inference time
@@ -430,7 +430,7 @@ You can deploy the explainer along with the original model and use it at inferen
 
 1. Deploy the image to a compute target, by following these steps:
 
-   1. If needed, register your original prediction model by following the steps in [Deploy models with Azure Machine Learning](./how-to-deploy-and-where.md).
+   1. If needed, register your original prediction model by following the steps in [Deploy models with Azure Machine Learning](./how-to-deploy-managed-online-endpoints.md).
 
    1. Create a scoring file.