GENERATIVE-AI-LEADER · Question #76
A company's development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly…
The correct answer is A. Google Cloud's pre-trained models and low-and no-code AI tools and services. Google Cloud's pre-trained foundation models remove the need to collect data and train models from scratch, while low-code and no-code tools (such as Vertex AI Studio and pre-built APIs) let teams with limited ML expertise build and deploy generative AI solutions quickly. The…
Question
A company's development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?
Options
- AGoogle Cloud's pre-trained models and low-and no-code AI tools and services.
- BGoogle Cloud's collaborative AI community and support forums connect developers with AI
- CGoogle Cloud's comprehensive training materials and tutorials to help developers.
- DGoogle Cloud's focus on continuous improvement provides access to the latest AI tools, features,
How the community answered
(35 responses)- A89% (31)
- B3% (1)
- C6% (2)
- D3% (1)
Explanation
Google Cloud's pre-trained foundation models remove the need to collect data and train models from scratch, while low-code and no-code tools (such as Vertex AI Studio and pre-built APIs) let teams with limited ML expertise build and deploy generative AI solutions quickly. The other options-community forums (B), training materials (C), and continuous improvement (D)-are supportive resources but do not directly accelerate time-to-launch the way ready-to-use models and visual tooling do.
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