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GCP Generative AI Leader Practice Question 16: Model Catalog Evaluation

Google Cloud Generative AI Leader · Test 2 · question 6 of 10

Google Cloud's Gen AI Offeringseasy

A media group's AI council has three candidate use cases and no agreement on which model each should use. Some members favour Google's own models, one team has been reading about a partner model, and another wants to try an open model. The council does not want three separate vendor contracts and three deployment patterns while it is still experimenting; it wants one place inside Google Cloud to browse the options, try them, and deploy whichever wins.

Where should the council direct its teams?

Show answer and explanation

Answer:

A. Model Garden on Gemini Enterprise Agent Platform, a library for discovering, testing, customizing, and deploying models from Google and partners

Model Garden is described by Google Cloud as an AI/ML model library that helps you discover, test, customize, and deploy models and assets from Google and Google partners. Its stated advantages are exactly the council's requirements: available models are grouped in a single location, it provides a consistent deployment pattern across different types of models, and it integrates with the rest of Agent Platform for tuning, evaluation, and serving (option A). One catalog replaces three procurement and deployment paths.

- B is wrong because the Gemini app is an end-user assistant. It doesn't let teams evaluate partner or open models, and it doesn't deploy anything. - C is wrong because Gemini Enterprise is the employee-facing search and agent experience over company content. It solves a knowledge-access problem, not a model selection one. - D is wrong because grounding is a technique for improving a model's answers with external data. It says nothing about which model to choose or how to deploy it.

Reference: Overview of Model Garden

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