Microsoft Certified: Azure Fundamentals (AZ-900) 2025 – 400 Free Practice Questions to Pass the Exam

The correct choice is Azure Machine Learning Service, which is specifically designed to offer a comprehensive environment for training, deploying, and managing machine learning models. This service includes a wide array of tools and services that cover the entire machine learning lifecycle, including data preparation, model training, deployment, and monitoring of models in production.

Azure Machine Learning Service provides capabilities for orchestrating machine learning workflows, starting from data ingestion through to model deployment and management. This makes it a powerful and flexible platform for data scientists and developers working with machine learning.

While Azure Cognitive Services offers pre-built AI capabilities, focusing on specific tasks such as image recognition, speech, and language understanding, it is not primarily aimed at the comprehensive model lifecycle management. Azure AI is more of a broader term that encompasses various AI-related services, including both Cognitive Services and Machine Learning, but it does not provide the targeted functionalities of model training and management that Azure Machine Learning Service does. Azure Machine Learning Studio is more focused on a collaborative workspace for building models rather than the full management capabilities.

Thus, Azure Machine Learning Service stands out as the dedicated resource for the demands of developing and running sophisticated machine learning models effectively.