Fix warnings.

Author: TimShererWithAquent

articles/machine-learning/how-to-configure-auto-train.md

@@ -73,7 +73,7 @@ except Exception as ex:
 
 # [Azure CLI](#tab/azurecli)
 
-In the CLI, begin by logging into your Azure account. If you account is associated with multiple subscripstions, you need to [set the subscription](/cli/azure/manage-azure-subscriptions-azure-cli#change-the-active-subscription).
+In the CLI, begin by logging into your Azure account. If you account is associated with multiple subscriptions, you need to [set the subscription](/cli/azure/manage-azure-subscriptions-azure-cli#change-the-active-subscription).
 
 ```azurecli
 az login
@@ -89,6 +89,8 @@ For more information, see [CLI setup](how-to-configure-cli.md#set-up).
 
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+<a name="data-source-and-format"></a>
+
 ## Specify data source and format
 
 In order to provide training data in SDK v2, you need to upload it into the cloud through an *MLTable*.
@@ -653,6 +655,8 @@ Now, you launch the pipeline run using the following command. The pipeline confi
 
 ---
 
+<a name="automl-at-scale-distributed-training"></a>
+
 ## Use AutoML at scale: distributed training
 
 For large data scenarios, AutoML supports distributed training for a limited set of models: