Learn about the two tasks that require an enterprise workspace in Azure Machine Learning and why it is essential for large-scale machine learning projects.
Table of Contents
Question
You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Use a graphical user interface (GUI) to run automated machine learning experiments.
B. Create a compute instance to use as a workstation.
C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
D. Create a dataset from a comma-separated value (CSV) file.
Answer
A. Use a graphical user interface (GUI) to run automated machine learning experiments.
C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
Explanation
Enterprise workspaces are no longer available as of September 2020. The basic workspace now has all the functionality of the enterprise workspace.
To determine whether to use a basic workspace or an enterprise workspace in Azure Machine Learning, you need to consider the tasks you want to perform. An enterprise workspace is required for the following two tasks:
- Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
- Create a compute instance to use as a workstation.
These tasks require an enterprise workspace because they involve collaboration and sharing of resources among multiple users. An enterprise workspace provides a centralized location for managing resources and access control, which is essential for large-scale machine learning projects.
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