Databricks Certified Machine Learning Professional — Question 17

Which of the following is a benefit of logging a model signature with an MLflow model?

Answer options

• A. The model will have a unique identifier in the MLflow experiment
• B. The schema of input data can be validated when serving models
• C. The model can be deployed using real-time serving tools
• D. The model will be secured by the user that developed it
• E. The schema of input data will be converted to match the signature

Correct answer: B

Explanation

Option B is correct because logging a model signature allows for validation of the input data schema when serving models, ensuring compatibility. Options A, C, D, and E do not accurately reflect the benefits of logging a model signature, as they pertain to other aspects of model management and deployment.