Include repodata file example

Author: deeikele

articles/machine-learning/concept-vulnerability-management.md

@@ -60,6 +60,7 @@ Azure Machine Learning uses Conda for package installations. By default, package
 RUN conda config --set offline false \
 && conda config --remove channels defaults || true \
 && conda config --add channels https://my.private.conda.feed/conda/feed
+&& conda config --add repodata_fns <repodata_file_on_your_server>.json
 ```
 
 See [use your own dockerfile](how-to-use-environments.md#use-your-own-dockerfile) to learn how to specify your own base images in Azure Machine Learning. For more details on configuring Conda environments, see [Conda - Creating an environment file manually](https://docs.conda.io/projects/conda/en/4.6.1/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually).
@@ -147,4 +148,4 @@ For code-based training experiences, you control which Azure Machine Learning en
 * [Azure Machine Learning Base Images Repository](https://github.com/Azure/AzureML-Containers)
 * [Data Science Virtual Machine release notes](./data-science-virtual-machine/release-notes.md)
 * [AzureML Python SDK Release Notes](./azure-machine-learning-release-notes.md)
-* [Machine learning enterprise security](/azure/cloud-adoption-framework/ready/azure-best-practices/ai-machine-learning-enterprise-security)
+* [Machine learning enterprise security](/azure/cloud-adoption-framework/ready/azure-best-practices/ai-machine-learning-enterprise-security)