nerdexam
Microsoft

DP-100 · Question #499

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 3.8 AzureML kernel is not required and does not enable the addition of a new Jupyter kernel.

Explore data and run experiments

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 3.8 - AzureML kernel. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(48 responses)
  • A
    15% (7)
  • B
    85% (41)

Why each option

Deleting the Python 3.8 AzureML kernel is not required and does not enable the addition of a new Jupyter kernel.

AYes

Answering Yes is incorrect because removing an existing kernel is not a prerequisite and does not provide the Python environment or kernel registration necessary to add a new Jupyter kernel.

BNoCorrect

Removing an existing kernel does not satisfy the prerequisite for adding a new one. The actual required step is creating a new conda or Python environment with ipykernel installed and registering it as a kernel; deleting an existing kernel is an independent action that contributes nothing to this process.

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

#Jupyter kernels#Azure Machine Learning Studio#Notebook environments#Kernel management

Community Discussion

No community discussion yet for this question.

Sign up to join the discussion
Full DP-100 Practice