Microsoft Azure AI Fundamentals (AI-900) Practice Exam

How does Azure ML designer allow users to create ML models?

1. By writing code in various programming languages

2. By adding and connecting modules on a visual canvas

3. By importing pre-built models only

4. By utilizing complex algorithms directly

The correct answer is: By adding and connecting modules on a visual canvas

Azure ML Designer enables users to create machine learning models through an intuitive, user-friendly interface that employs a visual canvas. This approach allows users to add various components, known as modules, and connect them in a way that represents the workflow of the machine learning process. By dragging and dropping these modules, users can design their machine learning pipelines without needing extensive programming knowledge. This visual interface supports various tasks, such as data processing, model training, and evaluation, while allowing flexibility in how different elements are arranged and utilized. The ease of creating a model using this method makes it accessible for both beginners and experienced users who wish to prototype machine learning ideas quickly. In contrast, writing code in various programming languages requires programming skills and is less visual, which may not cater to all users. Importing only pre-built models limits the customization and development of new solutions, while utilizing complex algorithms directly may demand a deeper understanding of the algorithms themselves and may not be straightforward for all users. Azure ML Designer's unique approach with a visual canvas fosters a more inclusive environment for building machine learning models.