Which service provides a hosted notebook environment to run data science and machine learning experiments without managing servers?

• A. Amazon Polly
• B. Amazon Textract
• C. Amazon Translate
• D. Amazon SageMaker

Answer: (D)

Running data science and machine learning experiments without managing servers is enabled by a fully managed ML development environment. Amazon SageMaker offers hosted notebooks (SageMaker Notebooks and SageMaker Studio) that run in the cloud with the infrastructure managed by the service. You can create and run Jupyter notebooks, prepare data, train models, tune hyperparameters, and deploy endpoints—all without provisioning or maintaining servers. The service handles provisioning, scaling, and security so you focus on experiments and models.

The other options are not about hosted notebook environments: Polly is a text-to-speech service, Textract extracts text from documents, and Translate translates text between languages. They don’t provide the end-to-end notebook-based workflow for data science experiments, hence SageMaker is the correct choice.