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clarify kernel selection
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articles/machine-learning/includes/prereq-set-kernel.md

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:::image type="content" source="../media/tutorial-azure-ml-in-a-day/start-compute.png" alt-text="Screenshot shows how to start a stopped compute instance." lightbox="../media/tutorial-azure-ml-in-a-day/start-compute.png":::
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1. Make sure that the kernel, found on the top right, is `Python 3.10 - SDK v2`. If not, use the dropdown to select this kernel.
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1. Wait until the compute instance is running. Then make sure that the kernel, found on the top right, is `Python 3.10 - SDK v2`. If not, use the dropdown to select this kernel.
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:::image type="content" source="../media/tutorial-azure-ml-in-a-day/set-kernel.png" alt-text="Screenshot shows how to set the kernel." lightbox="../media/tutorial-azure-ml-in-a-day/set-kernel.png":::
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If you don't see this kernel, verify that your compute instance is running. If it is, select the **Refresh** button on the top right of the notebook.
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1. If you see a banner that says you need to be authenticated, select **Authenticate**.
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1. You can run the notebook here, or open it in VS Code for a full integrated development environment (IDE) with the power of Azure Machine Learning resources. Select **Open in VS Code**, then select either the web or desktop option. When launched this way, VS Code is attached to your compute instance, the kernel, and the workspace file system.

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