What this domain covers
This domain groups 1 objectives: Identify machine learning techniques and concepts and describe Azure Machine Learning capabilities. Official range: 15-20%..
AI-900 domain
Describe fundamental principles of machine learning on Azure
Study the Describe fundamental principles of machine learning on Azure blueprint area in the context of Skills measured as of May 2, 2025.CertificationAI-900
ProviderMicrosoft
Blueprint weight19%
Exam standardSkills measured as of May 2, 2025
Why this domain matters
The Describe fundamental principles of machine learning on Azure domain represents a distinct part of the AI-900 role blueprint. It should be understood in relation to the other domains because exam scenarios can require knowledge from more than one area.
How to prepare
Begin with the objective statements below, review each listed subtopic in the provider material, and practice applying the concepts to realistic decisions. Track uncertain answers as well as incorrect ones before moving into timed simulation.
- Identify regression machine learning scenarios.
- Identify classification machine learning scenarios.
- Identify clustering machine learning scenarios.
- Identify features of deep learning techniques.
- Identify features of the Transformer architecture.
- Identify features and labels in a machine learning dataset.
- Describe how training and validation datasets are used in machine learning.
- Describe capabilities of automated machine learning.
Identify machine learning techniques and concepts and describe Azure Machine Learning capabilities. Official range: 15-20%.
Prepare to work with Identify regression machine learning scenarios.; Identify classification machine learning scenarios.; Identify clustering machine learning scenarios.; Identify features of deep learning techniques.; Identify features of the Transformer architecture.; Identify features and labels in a machine learning dataset.; Describe how training and validation datasets are used in machine learning.; Describe capabilities of automated machine learning.; Describe data and compute services for data science and machine learning.; Describe model management and deployment capabilities in Azure Machine Learning..
Continue through the full blueprint.
Review every domain before moving from targeted practice into timed simulation.