Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Can Automated ML visually connect datasets and modules?

1. Yes

2. No

3. Only through code

4. Only with external visualization tools

The correct answer is: Yes

Automated Machine Learning (AutoML) in Microsoft Azure offers a visually intuitive interface that allows users to connect datasets and machine learning modules without extensive coding or programming skills. This feature is designed to simplify the machine learning workflow for users by providing drag-and-drop functionality where datasets can be visually represented and linked to various processing and modeling modules. By enabling a visual connection of datasets and modules, users can easily understand the flow of data, apply preprocessing steps, choose algorithms, and evaluate outcomes in an interactive manner. This capability is particularly useful for users who may not have a deep technical background in coding but still wish to engage with and execute machine learning tasks. The other options suggest limitations that do not reflect the capabilities of Automated ML in Azure. Therefore, recognizing that Automated ML can visually connect datasets and modules helps reinforce the accessibility and user-friendly nature of the platform for a wide range of users interested in machine learning.