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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-troubleshoot-environments.md
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@@ -47,7 +47,7 @@ They aren't listed but you can retrieve them by version or label.
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AzureML builds environment definitions into Docker images.
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It also caches the images in the Azure Container Registry associated with your AzureML Workspace so they can be reused in subsequent training jobs and service endpoint deployments.
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Additional environments with the same definition may result in the same cached image.
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Multiple environments with the same definition may result in the same cached image.
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Running a training script remotely requires the creation of a Docker image.
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