AWS Certified Cloud Practitioner
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A company built a deep learning model for object detection and deployed the model to production. Which AI process occurs when the model analyzes a new image to identify objects?
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RRitesh
A
Training
B
Inference
C
Model deployment
D
Bias correction
Explanation:
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.
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