Merge pull request #100182 from GiftA-MSFT/patch-14

Update how-to-deploy-and-where.md

Author: PRMerger17

articles/machine-learning/how-to-deploy-and-where.md

@@ -75,7 +75,7 @@ The code snippets in this section demonstrate how to register a model from a tra
 
 + **Using the SDK**
 
-  When you use the SDK to train a model, you can receive either a [Run](https://review.docs.microsoft.com/python/api/azureml-core/azureml.core.run.run?view=azure-ml-py&branch=master) object or an [AutoMLRun](/python/api/azureml-train-automl-client/azureml.train.automl.run.automlrun) object, depending on how you trained the model. Each object can be used to register a model created by an experiment run.
+  When you use the SDK to train a model, you can receive either a [Run](https://docs.microsoft.com/python/api/azureml-core/azureml.core.run.run?view=azure-ml-py) object or an [AutoMLRun](/python/api/azureml-train-automl-client/azureml.train.automl.run.automlrun) object, depending on how you trained the model. Each object can be used to register a model created by an experiment run.
 
   + Register a model from an `azureml.core.Run` object:
 
@@ -84,7 +84,7 @@ The code snippets in this section demonstrate how to register a model from a tra
     print(model.name, model.id, model.version, sep='\t')
     ```
 
-    The `model_path` parameter refers to the cloud location of the model. In this example, the path of a single file is used. To include multiple files in the model registration, set `model_path` to the path of a folder that contains the files. For more information, see the [Run.register_model](https://review.docs.microsoft.com/python/api/azureml-core/azureml.core.run.run?view=azure-ml-py&branch=master#register-model-model-name--model-path-none--tags-none--properties-none--model-framework-none--model-framework-version-none--description-none--datasets-none----kwargs-) documentation.
+    The `model_path` parameter refers to the cloud location of the model. In this example, the path of a single file is used. To include multiple files in the model registration, set `model_path` to the path of a folder that contains the files. For more information, see the [Run.register_model](https://docs.microsoft.com/python/api/azureml-core/azureml.core.run.run?view=azure-ml-py#register-model-model-name--model-path-none--tags-none--properties-none--model-framework-none--model-framework-version-none--description-none--datasets-none--sample-input-dataset-none--sample-output-dataset-none--resource-configuration-none----kwargs-) documentation.
 
   + Register a model from an `azureml.train.automl.run.AutoMLRun` object:
 
@@ -97,7 +97,7 @@ The code snippets in this section demonstrate how to register a model from a tra
 
     In this example, the `metric` and `iteration` parameters aren't specified, so the iteration with the best primary metric will be registered. The `model_id` value returned from the run is used instead of a model name.
 
-    For more information, see the [AutoMLRun.register_model]/python/api/azureml-train-automl-client/azureml.train.automl.run.automlrun#register-model-model-name-none--description-none--tags-none--iteration-none--metric-none-) documentation.
+    For more information, see the [AutoMLRun.register_model](/python/api/azureml-train-automl-client/azureml.train.automl.run.automlrun#register-model-model-name-none--description-none--tags-none--iteration-none--metric-none-) documentation.
 
 + **Using the CLI**