Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Which of the following is a true statement about Automated ML?

1. It only supports classification problems

2. It simplifies the machine learning process

3. It requires a complex setup

4. It is only intended for enterprise applications

The correct answer is: It simplifies the machine learning process

Automated ML, or AutoML, is designed to simplify the machine learning process, enabling users to create machine learning models with minimal manual intervention. This automation facilitates tasks such as feature selection, algorithm selection, and hyperparameter tuning, allowing even individuals with limited data science expertise to develop effective models. By streamlining the process, Automated ML can save significant time and resources, allowing data scientists and analysts to focus more on interpreting results and less on the intricate details of model building. The other statements do not accurately capture the essence of Automated ML. For instance, it supports multiple types of problems, not just classification, and thus enables regression and forecasting tasks as well. The setup required for Automated ML is not inherently complex; in fact, it aims to reduce complexity compared to traditional machine learning workflows. Lastly, its applications are not limited to enterprise environments, as it can also benefit small businesses and individual developers looking to leverage machine learning capabilities.