Designing and Implementing a Data Science Solution on Azure — Question 140

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.

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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: Create an environment.

Does the solution meet the goal?

Answer options

Correct answer: A

Explanation

Creating an environment is essential as it encapsulates the dependencies and configurations needed for the new Jupyter kernel. Without an environment, the kernel cannot be properly set up, making the option 'No' incorrect, as it does not fulfill the prerequisite.