Google Cloud Digital Leader Practice Exam

The correct service for serving machine learning models in Google Cloud Platform (GCP) is the Google AI Platform. This platform is specifically designed to facilitate the deployment, management, and serving of machine learning models at scale. It provides a comprehensive solution that supports various frameworks and tools for machine learning, making it easier for data scientists and developers to deploy their trained models into production.

One of the key features of the Google AI Platform is its ability to seamlessly integrate with other GCP services, enabling users to manage their trained models and serve predictions in a highly scalable environment. This capability is critical for applications that require real-time predictions, as it can handle a significant amount of concurrent requests efficiently.

In contrast, the other services listed do not focus primarily on serving machine learning models. Google Cloud Functions is designed for running code in response to events, making it suitable for serverless applications but not specifically for ML model serving. Google Cloud Run enables users to run containerized applications, allowing for some flexibility but lacking the dedicated features optimized for ML workloads. Google Cloud Storage is a service for storing and retrieving large amounts of data but does not serve machine learning models directly. Thus, the Google AI Platform stands out as the dedicated solution tailored for this purpose.