{“@context”:”https://schema.org”,”@type”:”FAQPage”,”mainEntity”:[{“@type”:”Question”,”name”:”What distinguishes AutoML from custom model training on Vertex AI?”,”acceptedAnswer”:{“@type”:”Answer”,”text”:”AutoML enables users with limited ML expertise to build models, while custom training requires writing code and ML knowledge”}}]}
What distinguishes AutoML from custom model training on Vertex AI?
- A. AutoML models cannot be deployed to production
- B. Custom training only supports image classification
- C. AutoML enables users with limited ML expertise to build models, while custom training requires writing code and ML knowledge
- D. AutoML is more expensive than custom training
✅ Correct Answer: C. AutoML enables users with limited ML expertise to build models, while custom training requires writing code and ML knowledge