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Design an azure ML architecture with Azure Machine Learning Studio, Compute Instances for development, Compute Clusters for training, Azure Databricks for data preparation, Data Factory for data pipeline, Azure Storage for datasets, Model Registry for versioning, Container Instances for deployment, Kubernetes Service for scalable inference, Cognitive Services for pre-built AI, and MLOps pipeline with monitoring and retraining.