Databricks Certified Machine Learning Professional — Question 84

Which is a benefit of logging an input example with an MLflow model?

Answer options

• A. The model evaluation metrics are stored with the model
• B. The environment requirements are packaged with the MLmodel file
• C. An example record is available to test serving applications
• D. An example prediction is available to test post-inference pipelines

Correct answer: C

Explanation

Option C is correct because logging an input example allows developers to have a concrete record to validate the functionality of serving applications. Options A and B refer to model evaluation metrics and environment specifications, which are not the primary focus of logging input examples. Option D, while related to predictions, does not directly address the benefit of having an input example for testing serving functionalities.