Merge pull request #213387 from sdgilley/sdg-main-updates

fix include

Author: prmerger-automator[bot]

articles/machine-learning/how-to-create-attach-compute-cluster.md

@@ -171,7 +171,7 @@ Use any of these ways to specify a low-priority VM:
 
 # [Python SDK](#tab/python)
 
-[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v1.md)]
+[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 
 [!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/compute/compute.ipynb?name=cluster_low_pri)]
 

articles/machine-learning/how-to-manage-workspace.md

@@ -9,7 +9,7 @@ ms.author: sgilley
 author: sdgilley
 ms.date: 09/21/2022
 ms.topic: how-to
-ms.custom: fasttrack-edit, FY21Q4-aml-seo-hack, contperf-fy21q4, sdkv1, event-tier1-build-2022
+ms.custom: fasttrack-edit, FY21Q4-aml-seo-hack, contperf-fy21q4, sdkv2, event-tier1-build-2022
 ---
 
 # Manage Azure Machine Learning workspaces in the portal or with the Python SDK (v2)
@@ -226,7 +226,7 @@ Place the file into  the directory structure with your Python scripts or Jupyter
 
 When running machine learning tasks using the SDK, you require a MLClient object that specifies the connection to your workspace. You can create an `MLClient` object from parameters, or with a configuration file.
 
-[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v1.md)]
+[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
 
 * **With a configuration file:** This code will read the contents of the configuration file to find your workspace.  You'll get a prompt to sign in if you aren't already authenticated.