Which service in OCI would typically handle machine learning model deployment?

The choice of OCI Data Science as the service that typically handles machine learning model deployment is appropriate because this service is specifically designed for building, training, and deploying machine learning models. OCI Data Science provides a suite of tools that streamline the entire machine learning lifecycle, from data preparation to model training and finally to deployment.

This service facilitates collaboration among data scientists and enables them to work with various data sources and machine learning frameworks. It supports the management of models, versioning, and allows for deployment in a way that integrates smoothly with other Oracle Cloud services, making it a central component for machine learning in the OCI ecosystem.

While other options such as Oracle Cloud Functions and OCI Compute could potentially be used in conjunction with machine learning models, they do not serve the primary purpose of managing machine learning workflows and deployment in the way that OCI Data Science does. Oracle Cloud Functions is mainly geared towards serverless architecture for running code in response to events, and OCI Compute provides infrastructure for running applications but lacks the specialized features focused on data science and ML model management. Oracle Database Cloud Service, although useful for data storage and management, does not directly provide tools for machine learning model deployment.