AWS Certified Cloud Practitioner

Option B is CORRECT because inference is the process that occurs when a deployed model analyzes new data—in this case, a new image—to make predictions or identify objects. Inference is what happens in real-time when the model is used in production to generate outputs based on new inputs.

Option A is INCORRECT because training is the process of teaching the model by feeding it data and adjusting its parameters. This happens before deployment and inference.

Option C is INCORRECT because model deployment refers to the process of putting a trained model into a production environment where it can be used for inference, but it is not the process of analyzing new data.

Option D is INCORRECT because bias correction involves methods used during training or data preparation to address potential biases in the model or data, but it is not directly related to the real-time analysis of new images.