Explanation:
The proposed solution to delete the Python 3.6 – AzureML kernel does NOT meet the goal. According to Microsoft documentation referenced in the community discussion, to add a new Jupyter kernel in Azure Machine Learning, you need to create a new environment with the desired packages and configurations, then install the kernel from that environment. Deleting an existing kernel is not a prerequisite for adding a new one; in fact, existing kernels can coexist with new ones. The community discussion shows 100% consensus that the correct answer is 'No' (B), as deleting the kernel is unnecessary and does not facilitate adding a new kernel. The optimal approach involves environment creation and kernel installation, not removal of existing kernels.
Ultimate access to all questions.
You have an Azure Machine Learning workspace. You are connected to a terminal session from the Notebooks page in Azure Machine Learning studio.
You plan to add a new Jupyter kernel that will be accessible from the same terminal session.
You need to identify the prerequisite task for adding the new kernel.
Proposed Solution: Delete the Python 3.6 – AzureML kernel.
Does the solution meet the goal?
A
Yes
B
No
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