Answer-first summary for fast verification
Answer: No
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.
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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