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Merge pull request #214483 from vs-li/patch-1
Fix broken links
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articles/machine-learning/concept-environments.md

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@@ -41,7 +41,7 @@ You use system-managed environments when you want [conda](https://conda.io/docs/
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You can create environments from clients like the AzureML Python SDK, Azure Machine Learning CLI, Environments page in Azure Machine Learning studio, and [VS Code extension](how-to-manage-resources-vscode.md#create-environment). Every client allows you to customize the base image, Dockerfile, and Python layer if needed.
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For specific code samples, see the "Create an environment" section of [How to use environments](how-to-use-environments.md#create-an-environment).
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For specific code samples, see the "Create an environment" section of [How to use environments](how-to-manage-environments-v2.md#create-an-environment).
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Environments are also easily managed through your workspace, which allows you to:
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"Anonymous" environments are automatically registered in your workspace when you submit an experiment. They will not be listed but may be retrieved by version.
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For code samples, see the "Manage environments" section of [How to use environments](how-to-use-environments.md#manage-environments).
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For code samples, see the "Manage environments" section of [How to use environments](how-to-manage-environments-v2.md#manage-environments).
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## Environment building, caching, and reuse
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