Exam Cloud Digital Leader topic 1 question 153 discussion

Recommendations AI enables you to build an end-to-end personalized recommendation system based on state-of-the-art deep learning ML models, without a need for expertise in ML or recommendation systems. With Vertex AI, both AutoML training and custom training are available options. Whichever option you choose for training, you can save models, deploy models, and request predictions with Vertex AI.

What is going on here? C isn't the best option as it reduces the level of customization it offers

D is correct

D. Vertex AI 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 because it offers the following features:

Vertex AI

Focus on the Qn. "Need Platform"

Per Google docs, Recommendations AI "enables you to build an end-to-end personalized recommendation system based on state-of-the-art deep learning ML models, without a need for expertise in ML or recommendation systems." https://cloud.google.com/recommendations-ai/docs

Vertex AI Workbench is the single environment for data scientists to complete all of their ML work, from experimentation, to deployment, to managing and monitoring models

https://cloud.google.com/vertex-ai

vertex AI

D. Vertex is the correct answer. Key word Custom C Recommendation AI is for making Recommendations

CUSTOM is the key word

https://cloud.google.com/vertex-ai

Vertex AI it is a platform provide notebooks to create ML models .

D Vertex is the correct answer. Key word Custom C Recommendation AI is for making Recommendations

why not D?