QuestionQ10

Implement machine learning model lifecycle and operations

You have an Azure Machine Learning workspace. You connect to a terminal session from the Notebooks page in Azure Machine Learning studio.

You plan to add a new Jupyter kernel that will be available from the same terminal session.

You need to perform the task that must be completed before you can add the new kernel.

Solution: Delete the Python 3.8 - AzureML kernel.

Does this solution meet the goal?

  • A Yes
  • B No
Explanation

A new Jupyter kernel is added by creating and activating an environment, installing pip and ipykernel, and registering that environment as a kernelspec. Azure Machine Learning guidance warns against deleting Jupyter kernels that were not created by the user because doing so can damage Jupyter or JupyterLab functionality; deleting the existing Python 3.8 - AzureML kernel is not required.

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