Exam Certified Machine Learning Professional topic 1 question 30 discussion

By logging a model signature, you define the schema of the input data, which can be useful for validating incoming data during model serving. This helps ensure that the data provided to the model during inference matches the expected format, reducing the risk of errors or unexpected behavior.

The correct answer is B. The schema of input data can be validated when serving models123. Model signatures in MLflow define the schema of a model’s inputs and outputs3. When a model is deployed, MLflow’s deployment tools can use the signature to validate incoming data, ensuring that it matches the schema the model expects12. This enhances model reliability and eases the transition from development to production