How should you build a model to ensure that the application does not falsely accept a non-compliant picture?

You need to build an ML model for a social media application to predict whether a user’s submitted profile photo meets the requirements. The application will inform the user if the picture meets the requirements.

How should you build a model to ensure that the application does not falsely accept a non-compliant picture?
A . Use AutoML to optimize the model’s recall in order to minimize false negatives.
B . Use AutoML to optimize the model’s F1 score in order to balance the accuracy of false positives and false negatives.
C . Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that meet the profile photo requirements.
D . Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that do not meet the profile photo requirements.

Answer: C