A data scientist uses SAS Model Studio to build an automated machine learning (AutoML) pipeline. After model comparison, the best model is a gradient boosting model. Which SAS Model Studio action makes the selected model available for production scoring in SAS Model Manager?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because SAS Model Studio integrates with SAS Model Manager through a 'Register Model' action (or pipeline step) that packages the model's score code, input/output variable definitions, and performance metrics and registers them directly in Model Manager's model repository, enabling seamless transition from development to production. A is a manual workaround, not the integrated action.
Full explanation below image
Full Explanation
B is correct because SAS Model Studio integrates with SAS Model Manager through a 'Register Model' action (or pipeline step) that packages the model's score code, input/output variable definitions, and performance metrics and registers them directly in Model Manager's model repository, enabling seamless transition from development to production. A is a manual workaround, not the integrated action. C saves a data table, not a model object. D saves a model structure file for PROC HPFOREST only, not the integrated Model Manager registration.