Microsoft Azure Fundamentals AZ-900 Practice Exam 2025 – Complete Study Resource

The correct answer is based on the relationship between Azure Machine Learning Studio and Azure Machine Learning Service. Azure Machine Learning Studio is an integrated development environment for building, training, and deploying machine learning models. However, it operates independently of Azure Machine Learning Service, which provides comprehensive capabilities for managing the entire machine learning lifecycle, including advanced experimentation, model management, and deployment functionalities.

While you can develop models in Azure Machine Learning Studio, the specific management capabilities provided by Azure Machine Learning Service, such as version control, tracking, and fine-tuning deployed models, are not directly available for those models created in the studio. Therefore, machine learning models created and trained in Azure Machine Learning Studio cannot be managed effectively using the Azure Machine Learning Service. This distinction helps to clarify that while both tools serve related purposes within the Azure ecosystem, they function in separate contexts regarding model management.