C2090-930 · Question #5
You have a model nugget in the Models palette, but the stream used to create the model is not available. You want to refresh the model by rebuilding it on a new data set, but using the same…
The correct answer is B. Save Model. There appears to be an error in the provided answer key. Based on IBM SPSS Modeler's actual functionality, D. Generate Modeling Node is the correct answer, not B. Why D is correct: "Generate Modeling Node" recreates the original modeling node - with all the same variables…
Question
You have a model nugget in the Models palette, but the stream used to create the model is not available. You want to refresh the model by rebuilding it on a new data set, but using the same variables and settings used to build the original model nugget. Which capability in the modeling nuggets in the Models palette will you use for this purpose?
Options
- AAdd To Stream
- BSave Model
- CExport PMML
- DGenerate Modeling node
How the community answered
(25 responses)- A4% (1)
- B76% (19)
- C8% (2)
- D12% (3)
Explanation
There appears to be an error in the provided answer key. Based on IBM SPSS Modeler's actual functionality, D. Generate Modeling Node is the correct answer, not B.
Why D is correct: "Generate Modeling Node" recreates the original modeling node - with all the same variables, settings, and parameters - from an existing model nugget in the Models palette. You can then connect this generated node to a new data stream and re-run it to rebuild the model on fresh data, even if the original stream is gone.
Why the other options are wrong:
- A. Add To Stream places the model nugget into the active stream as a scorer (for predictions), not as a modeling node you can retrain.
- B. Save Model simply writes the existing nugget to disk as a file - it preserves the model as-is but does nothing to help you rebuild or retrain it.
- C. Export PMML exports the model in a portable XML format for use in other tools - useful for deployment, not for rebuilding with new data in Modeler.
Memory tip: Think "Generate = recreate the recipe." When you only have the finished dish (nugget) but lost the recipe (stream), Generate Modeling Node hands you back the recipe so you can cook it again with new ingredients (data).
I'd recommend verifying the answer key with your course materials - this is a commonly tested concept and D is the standard answer in IBM SPSS Modeler certification content.
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