An organization wants to build custom machine learning models. They require a managed platform that provides services to gather data, build models, and then deploy and monitor those models. Which service should they use?
D. Vertex AI
Vertex AI is a managed machine learning platform provided by Google Cloud. It allows organizations to:
- Gather data for training machine learning models.
- Build custom models using pre-built tools or custom code.
- Deploy and monitor machine learning models in production.
Vertex AI provides end-to-end support for the machine learning lifecycle, including training, tuning, deployment, and monitoring.
Why the other options are incorrect:
A. Document AI
Document AI is designed for processing and extracting information from unstructured documents, such as invoices or forms. It is not a platform for building custom machine learning models.
B. Natural Language API
The Natural Language API is a pre-trained API used for tasks like sentiment analysis, entity recognition, and syntax analysis. It does not provide tools for building and deploying custom models.
C. Kubernetes Engine
Kubernetes Engine is a managed platform for deploying, scaling, and managing containerized applications. While it can host machine learning models, it is not specifically designed for building or managing the machine learning lifecycle.
Vertex AI is a managed machine learning platform that provides a comprehensive set of tools and services for building, training, deploying, and managing machine learning models. It is a good choice for organizations that need to create custom end-to-end AI models
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