Which AWS service is used to build, train, and deploy machine learning models?

Answer:

Explanation:

Amazon SageMaker is a fully managed service that provides tools for building, training, and deploying machine learning models. It simplifies the end-to-end machine learning workflow by automating many of the tasks involved in model development, such as data preparation, model training, and hyperparameter tuning.

SageMaker allows developers and data scientists to build machine learning models using pre-built algorithms or their custom code. It also provides built-in monitoring and deployment tools to ensure models perform optimally in production environments.

With SageMaker, users can accelerate the development of machine learning models and deploy them at scale without worrying about managing the underlying infrastructure.