Broken link fixed

Author: pritamso

articles/machine-learning/v1/concept-azure-machine-learning-architecture.md

@@ -192,7 +192,7 @@ You deploy a [registered model](#model-registry) as a service endpoint. You need
 * **Scoring code**. This script accepts requests, scores the requests by using the model, and returns the results.
 * **Inference configuration**. The inference configuration specifies the environment, entry script, and other components needed to run the model as a service.
 
-For more information about these components, see [Deploy models with Azure Machine Learning](../how-to-deploy-and-where.md).
+For more information about these components, see [Deploy models with Azure Machine Learning](../how-to-deploy-managed-online-endpoints.md).
 
 ### Endpoints
 
@@ -286,4 +286,4 @@ To get started with Azure Machine Learning, see:
 
 * [What is Azure Machine Learning?](../overview-what-is-azure-machine-learning.md)
 * [Create an Azure Machine Learning workspace](../quickstart-create-resources.md)
-* [Tutorial: Train and deploy a model](../tutorial-train-deploy-notebook.md)
+* [Tutorial: Train and deploy a model](../tutorial-train-deploy-notebook.md)