From 4a1b41da6ede61d915bafa53e1441adeb4babb83 Mon Sep 17 00:00:00 2001 From: Sushant Divate Date: Thu, 5 Sep 2019 04:08:28 +0530 Subject: [PATCH] Update doc to address AzDO ML Task permissions (#61) * update doc to address issue 56 Updated doc for issue https://github.com/microsoft/MLOpsPython/issues/56 * added note to new line * updated doc --- docs/getting_started.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/getting_started.md b/docs/getting_started.md index 068ea84f..536749b9 100644 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -160,6 +160,8 @@ Configuration of a code **_ci-build** artifact is similar to what we did in the In order to configure a model artifact there should be a service connection to **mlops-AML-WS** workspace: +**Note:** Creating service connection using Azure Machine Learning extension requires 'Owner' or 'User Access Administrator' permissions on the Workspace. + ![workspace connection](./images/workspace-connection.png) Add an artifact to the pipeline and select **AzureML Model Artifact** source type. Select the **Service Endpoint** and **Model Names** from the drop down lists: