Which of the following evaluation metrics is not suitable to evaluate runs in AutoML experiments...

The code block provided by the machine learning engineer will perform the desired inference when the Feature Store feature set was logged with the model at model_uri. This ensures that all necessary feature transformations and metadata are available for the model to make predictions. The Feature Store in Databricks allows for seamless integration of features and models, ensuring that the required features are correctly used during inference.

References:

Databricks documentation on Feature Store: Feature Store in Databricks