Merge pull request #216048 from Blackmist/v1-v2

updates

Author: prmerger-automator[bot]

articles/machine-learning/how-to-run-jupyter-notebooks.md

@@ -346,11 +346,7 @@ Using the following keystroke shortcuts, you can more easily navigate and run co
 
 * **Expired token**: If you run into an expired token issue, sign out of your Azure ML studio, sign back in, and then restart the notebook kernel.
 
-* **File upload limit**: When uploading a file through the notebook's file explorer, you are limited files that are smaller than 5TB. If you need to upload a file larger than this, we recommend that you use one of the following methods:
-
-    * Use the SDK to upload the data to a datastore. For more information, see [Create data assets](how-to-create-data-assets.md?tabs=Python-SDK).
-    * Use [Azure Data Factory](v1/how-to-data-ingest-adf.md) to create a data ingestion pipeline.
-
+* **File upload limit**: When uploading a file through the notebook's file explorer, you are limited files that are smaller than 5TB. If you need to upload a file larger than this, we recommend that you use the SDK to upload the data to a datastore. For more information, see [Create data assets](how-to-create-data-assets.md?tabs=Python-SDK).
 
 ## Next steps
 

articles/machine-learning/how-to-secure-training-vnet.md

@@ -10,7 +10,7 @@ ms.reviewer: larryfr
 ms.author: jhirono
 author: jhirono
 ms.date: 07/28/2022
-ms.custom: contperf-fy20q4, tracking-python, contperf-fy21q1, references_regions, devx-track-azurecli, sdkv1, event-tier1-build-2022
+ms.custom: contperf-fy20q4, tracking-python, contperf-fy21q1, references_regions, devx-track-azurecli, sdkv2, event-tier1-build-2022
 ms.devlang: azurecli
 ---
 

articles/machine-learning/how-to-train-model.md

@@ -229,7 +229,7 @@ As part of job submission, the training scripts and data must be uploaded to a c
     }"
     ```
 
-1. Register a versioned reference to the training script for use with a job. In this case, the script would be located at `https://azuremlexamples.blob.core.windows.net/testjob`. This `testjob` is the folder in Blob storage that contains the training script and any dependencies needed by the script. In the following example, the ID of the versioned training code is returned and stored in the `$TRAIN_CODE` variable:
+1. Register a versioned reference to the training script for use with a job. In this example, the script is located at `https://azuremlexamples.blob.core.windows.net/azureml-blobstore-c8e832ae-e49c-4084-8d28-5e6c88502655/testjob`. This `testjob` is the folder in Blob storage that contains the training script and any dependencies needed by the script. In the following example, the ID of the versioned training code is returned and stored in the `$TRAIN_CODE` variable:
 
     ```bash
     TRAIN_CODE=$(curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/codes/train-lightgbm/versions/1?api-version=$API_VERSION" \
@@ -238,7 +238,7 @@ As part of job submission, the training scripts and data must be uploaded to a c
     --data-raw "{
             \"properties\": {
             \"description\": \"Train code\",
-            \"codeUri\": \"https://larrystore0912.blob.core.windows.net/azureml-blobstore-c8e832ae-e49c-4084-8d28-5e6c88502655/testjob\"
+            \"codeUri\": \"https://azuremlexamples.blob.core.windows.net/azureml-blobstore-c8e832ae-e49c-4084-8d28-5e6c88502655/testjob\"
         }
     }" | jq -r '.id')
     ```

articles/machine-learning/how-to-train-tensorflow.md

@@ -16,7 +16,7 @@ ms.custom: sdkv2, event-tier1-build-2022
 
 # Train TensorFlow models at scale with Azure Machine Learning
 
-[!INCLUDE [sdk v1](../../includes/machine-learning-sdk-v2.md)]
+[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 > [!div class="op_single_selector" title1="Select the Azure Machine Learning SDK version you are using:"]
 > * [v1](v1/how-to-train-tensorflow.md)
 > * [v2 (preview)](how-to-train-tensorflow.md)