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Microsoft

DP-100 · Question #498

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

The correct answer is B. No. Deleting the Python 3.6 AzureML kernel is not required and does not enable the addition of a new Jupyter kernel.

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Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. 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 accessible 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 3.6 - AzureML kernel. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(30 responses)
  • A
    20% (6)
  • B
    80% (24)

Why each option

Deleting the Python 3.6 AzureML kernel is not required and does not enable the addition of a new Jupyter kernel.

AYes

Answering Yes is incorrect because kernel deletion is not a prerequisite for adding a new kernel and does not create or configure the Python environment the new kernel requires.

BNoCorrect

Deleting an existing kernel has no bearing on the ability to add a new one. The correct prerequisite is creating a new Python or conda environment with ipykernel installed and then registering it; removing existing kernels is an unrelated action that neither creates nor configures the environment required for the new kernel.

Concept tested: Azure ML compute instance Jupyter kernel management prerequisites

Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-terminal

Topics

#Azure Machine Learning#Jupyter Kernels#Compute Instance#Environment Management

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