GENERATIVE-AI-LEADER · Question #46
GENERATIVE-AI-LEADER Question #46: Real Exam Question with Answer & Explanation
The correct answer is B: An open ecosystem that supports open-source models, tools, and interoperability. This approach directly aligns with the lab’s goal to combine open source models and community tooling with managed Google Cloud services while keeping portability. It reduces vendor lock in by allowing teams to run and swap models across environments, benefit from community innov
Question
A nonprofit news analytics lab is building a generative AI platform and wants the freedom to combine open-source models and tooling with managed Google Cloud services. They want to minimize vendor lock-in and benefit from innovations created by the wider AI community. Which characteristic of Google Cloud's generative AI strategy would most appeal to this lab?
Options
- AEnterprise security and compliance capabilities
- BAn open ecosystem that supports open-source models, tools, and interoperability
- CPrebuilt industry solutions for common generative AI use cases
- DCustom TPUs tuned for select Google model families
Explanation
This approach directly aligns with the lab’s goal to combine open source models and community tooling with managed Google Cloud services while keeping portability. It reduces vendor lock in by allowing teams to run and swap models across environments, benefit from community innovations, and integrate with services like Vertex AI and GKE without being tied to a single proprietary stack. Interoperability across frameworks and infrastructure is the central advantage that addresses the scenario requirements.
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