Exam AI-900 topic 1 question 46 discussion

This question should not be present in future exams as Enterprise workspace is now fused with Basic. Someone please follow up on this.

I passed the exam yesterday, I found this question

Running automated machine learning experiments with a GUI requires an enterprise workspace in Azure Machine Learning to handle the configuration, data, and compute resources. C: Defining and running machine learning experiments with a GUI also requires an enterprise workspace for organizing and managing the resources and processes.

From Microsoft’s current service tiers, the two features that require an Enterprise workspace (rather than a Basic one) are the Auto ML GUI and the Designer GUI. Therefore, the correct answers are: 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.

The correct answer should be B and C. Azure Machine Learning "Designer" only can provide GUI.

Based on the information from Microsoft Learn, the tasks that require an enterprise workspace in Azure Machine Learning are: 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.

A (Correct): Automated machine learning (AutoML) experiments with a GUI are features supported only in an enterprise workspace. The enterprise tier provides advanced functionality like AutoML in the GUI for more sophisticated use cases. C (Correct): The Azure Machine Learning designer, which allows defining and running experiments using a GUI, is part of the enterprise features.

Using copilot the answer is.... To determine whether to use a basic or an enterprise workspace in Azure Machine Learning, here are two tasks that specifically require an enterprise workspace: Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer1. Create a compute instance to use as a workstation1. These tasks leverage advanced features available only in the enterprise workspace, providing more robust tools for machine learning development and experimentation.

Answers should be B C

The two tasks that require an enterprise workspace in Azure Machine Learning are: A. Use a graphical user interface (GUI) to run automated machine learning experiments – The ability to use the GUI for AutoML experiments is part of the enterprise features. C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer – Access to the designer interface for building and running experiments requires an enterprise workspace.

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.

Copilot Based on the information from Microsoft Learn, the tasks that require an enterprise workspace in Azure Machine Learning are: 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. The Enterprise edition of Azure Machine Learning boosts productivity with no-code machine learning tools for all ML skill levels. This includes using a GUI to run automated machine learning experiments and defining and running machine learning experiments from Azure Machine Learning designer. The Basic edition is more suited for open source developers and data scientists who are comfortable with a code-first experience.

Here is the Chat GPT Answer but I don't know if it is correct. Anyway if it is obsolete i think it's not a valid question anymore. Two tasks that require an enterprise workspace in Azure Machine Learning are: A. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer. An enterprise workspace provides more advanced features and capabilities, including the ability to use a GUI interface like Azure Machine Learning designer to visually design and execute machine learning experiments. B. Create a compute instance to use as a workstation. An enterprise workspace offers more advanced management and control features, including the ability to create and manage compute instances that can be used as workstations for data exploration, model development, and experimentation.(chatGPT)

Is this updated?

I think this is a deprecated question.

Shouldn't this question be removed from the list?

They can ask about it until the end of 2020: Beginning December 21st, all Enterprise Edition workspaces will be automatically set to Basic Edition, which has the same capabilities. No downtime will occur during this process. On January 1, 2021, Enterprise Edition will be formally retired. In either editions, customers are responsible for the costs of Azure resources consumed and will not need to pay any additional charges for Azure Machine Learning.