Question: Google Cloud's AI provides modern machine learning services, with ________ models and a service to generate your own __________ models.
- virtual machine, dataset
- scalable, batch
- storage, process
- pre-trained, tailored
Explanation
Google Cloud AI includes ready-to-use AI APIs for common tasks such as vision, language, translation, and video analysis. For use cases that need organization-specific predictions, Cloud Machine Learning Engine supports building custom models from training data. This distinction separates ready-made AI capabilities from model development for specialized business needs. The value is access to machine learning without requiring every organization to build all model capabilities from the ground up.
Why the other options are incorrect
Virtual machine, dataset describes compute infrastructure and data inputs, not Google Cloud AI model options.
Scalable, batch describes processing characteristics, not the two AI model categories.
Storage, process describes big data workflow phases, not machine learning service options.
Source for verification
https://cloud.google.com/ai/apis
https://cloud.google.com/vertex-ai/docs/training-overview
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