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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-connection.md
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@@ -96,7 +96,7 @@ az ml connection create --file my_snowflakedb_connection.yaml
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### Option 2: Override the username and password at the command line
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```azurecli
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az ml connection create --file my_snowflakedb_connection.yaml --set credentials.username="XXXXX" credentials.password="XXXXX"
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az ml connection create --file my_snowflakedb_connection.yaml --set credentials.username="H4iJ5kL6mN7oP8qR9sT0uV1wX2yZ3a" credentials.password="E3fH4iJ5kL6mN7oP8qR9sT0uV1wX2y"
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```
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# [Python SDK](#tab/python)
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@@ -185,7 +185,7 @@ az ml connection create --file my_sqldb_connection.yaml
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### Option 2: Override the username and password in YAML file
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```azurecli
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az ml connection create --file my_sqldb_connection.yaml --set credentials.username="XXXXX" credentials.password="XXXXX"
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az ml connection create --file my_sqldb_connection.yaml --set credentials.username="A1bC2dE3fH4iJ5kL6mN7oP8qR9sT0u" credentials.password="N7oP8qR9sT0uV1wX2yZ3aB4cD5eF6g"
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```
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# [Python SDK](#tab/python)
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Using the GenericContainerRegistry workspace connection, you can specify an external registry, such as Nexus or Artifactory, for image builds. Environment images will be pushed and served from the specified registry, and the previous cache will be ignored.
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Using the GenericContainerRegistry workspace connection, you can specify an external registry, such as Nexus or Artifactory, for image builds. Environment images are pushed from the specified registry, and the previous cache is ignored.
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