Merge pull request #212381 from sdgilley/sdg-main-reflinks

fix include reflinks

Author: prmerger-automator[bot]

articles/machine-learning/how-to-customize-compute-instance.md

@@ -52,7 +52,7 @@ Script arguments can be referred to in the script as $1, $2, etc.
 
 If your script was doing something specific to azureuser such as installing conda environment or Jupyter kernel, you'll have to put it within `sudo -u azureuser` block like this
 
-:::code language="bash" source="~/azureml-examples-main/setup-ci/install-pip-package.sh":::
+:::code language="bash" source="~/azureml-examples-main/setup/setup-ci/install-pip-package.sh":::
 
 The command `sudo -u azureuser` changes the current working directory to `/home/azureuser`. You also can't access the script arguments in this block.
 

includes/machine-learning-connect-ws-v2.md

@@ -18,8 +18,8 @@ Replace your Subscription ID, Resource Group name and Workspace name in the code
 1. Copy the value for workspace, resource group and subscription ID into the code.  
 1. If you're using a notebook inside studio, you'll need to copy one value, close the area and paste, then come back for the next one.
 
-[!notebook-python[](~/azureml-examples-main/sdk/resources/compute/compute.ipynb?name=subscription_id)]
+[!notebook-python[](~/azureml-examples-main/sdk/python/resources/compute/compute.ipynb?name=subscription_id)]
 
-[!notebook-python[](~/azureml-examples-main/sdk/resources/compute/compute.ipynb?name=ml_client)]
+[!notebook-python[](~/azureml-examples-main/sdk/python/resources/compute/compute.ipynb?name=ml_client)]
 
 `ml_client` is a handler to the workspace that you'll use to manage other resources and jobs.

includes/machine-learning-service-local-deploy-config.md

@@ -16,6 +16,6 @@ The entries in the `deploymentconfig.json` document map to the parameters for [L
 This JSON is an example deployment configuration for use with the CLI:
 
 
-:::code language="json" source="~/azureml-examples-main/python-sdk/tutorials/deploy-local/deploymentconfig.json":::
+:::code language="json" source="~/azureml-examples-main/v1/python-sdk/tutorials/deploy-local/deploymentconfig.json":::
 
 Save this JSON as a file called `deploymentconfig.json`.