Google Cloud Professional Cloud Developer Practice Test

Cloud AI Platform is specifically designed for training machine learning models, making it the most appropriate service for this function. It provides a comprehensive set of tools and services that facilitate the entire ML lifecycle, including data preparation, model training, hyperparameter tuning, and deployment.

This service supports a variety of machine learning frameworks, such as TensorFlow, Scikit-learn, and others, allowing developers to utilize their preferred tools while benefiting from Google Cloud’s scalable infrastructure. Additionally, it offers features like distributed training capabilities and seamless integration with other Google Cloud services, enabling users to efficiently manage training jobs and resources.

In contrast, the other options serve different purposes: BigQuery is primarily used for large-scale data analytics; Cloud Functions is a serverless execution environment designed for event-driven applications; and Cloud SQL is a managed relational database service. While these services contribute to a machine learning project by providing data storage or processing capabilities, they are not tailored for the specific needs of training machine learning models.