GCP Professional Cloud Architect Practice Question

Your architecture team wants to accelerate two separate initiatives by selecting appropriate foundation models from Vertex AI Model Garden:

A new chat-based customer service agent must rely on a natively hosted Google model to minimize operational overhead.
A mobile R&D group needs downloadable weights so they can run an image style-transfer model entirely on edge devices.

When browsing Model Garden, which combination of model categories best satisfies the two initiatives while keeping each team's constraints intact?

Use a Google first-party model category for the chat agent and an open-source model category for the mobile style-transfer workload.
Use an open-source model category for the chat agent and a third-party proprietary model category for the mobile style-transfer workload.
Use a third-party proprietary model category for the chat agent and a Google first-party model category for the mobile style-transfer workload.
Use the hosted API category for both workloads, because hosted models always provide Google ownership and downloadable weights.

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Answer Description

Model Garden groups its catalog into several categories:

Google first-party models (for example, Gemini or Gemma) are fully hosted and managed by Google. They expose a Vertex AI endpoint and do not allow you to download the weights. This meets the customer-service agent's need for a Google-managed model with minimal operational work.
Open-source models (for example, Stable Diffusion or Llama 2) are published under permissive licenses. Model Garden lets you either invoke them as hosted endpoints or download the model artifacts so you can run them locally or on edge hardware. That matches the mobile team's requirement to obtain weights for on-device inference.

Third-party proprietary models are hosted partners whose weights are not downloadable, so they would not help the mobile team. Hosted APIs alone do not guarantee the model is Google-owned or that weights are accessible. Therefore the correct pairing is a Google first-party model for the chat agent and an open-source model for the edge style-transfer workload.

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