Domain 2: Describe fundamental principles of machine learning on Azure

Microsoft Azure AI Fundamentals (AI-900) · this domain is approximately 24.0% of the exam · 0 practice questions.

This domain tests foundational knowledge of how machine learning works, including supervised learning with labeled data, unsupervised learning for clustering and anomaly detection, and reinforcement learning concepts. Candidates must understand the role of features and labels, the training and validation split, and common metrics such as accuracy, precision, recall, and mean absolute error. Azure Machine Learning is the primary service covered, with attention to automated ML, the designer, and how compute resources are used for training and inference.

Practice all 0 questions in this domain

The full Microsoft Azure AI Fundamentals (AI-900) bank includes 0 more questions in this domain, each with a verified answer and a written explanation.