Question 33
Section 2A business team wants to add AI capabilities to an internal application without building models from scratch or relying entirely on specialized ML engineers. Which Google Cloud AI platform approach best supports this goal?
Correct answer: B
Explanation
Google Cloud democratizes AI development by reducing the need for custom model building through low-code and no-code tools, pre-trained models, and APIs. These offerings let more teams adopt AI without deep machine learning expertise. — Google Cloud’s AI platform democratizes AI development through low-code and no-code tools, pre-trained models, and APIs.
Why each option is right or wrong
A. Require every team to train custom models using only advanced machine learning workflows
Democratization emphasizes easier access through low-code, no-code, pre-trained models, and APIs.
B. Use low-code or no-code tools together with pre-trained models and APIs
The source states that Google Cloud democratizes AI development through low-code and no-code tools, pre-trained models, and APIs. Because the team wants AI capabilities without building models from scratch or depending fully on ML specialists, this combination directly matches that need.
C. Limit AI adoption to teams that can build and tune foundation models internally
Pre-trained models and APIs reduce the need to build foundation models internally.
D. Avoid pre-built services and focus on handwritten model code for all AI features
APIs and pre-trained models are specifically intended to provide pre-built AI capabilities.