Deployment testing · Question 17 of 60

What does API testing check when deploying an ML system?

1 answer is correct. Easy

1. A Whether the model can be rolled out gradually to a small subset of users
2. B Whether the model computes faster and more efficiently after format conversion
3. C Whether standards-compliant interfaces correctly handle inputs, outputs, error messages and integrations
4. D Whether the training data is representative of the later calls from clients and data feeds via the interface