Exam Name: IBM SPSS Modeler - Business Partner Data Mining Associate Exam
Certification Provider: SPSS
Corresponding Certification: SPSS Certification
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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Deployment | - Operationalizing predictive models - Scoring and deployment workflows |
| IBM SPSS Modeler Environment | - Interface and stream design - Data flow and node usage |
| CRISP-DM Methodology | - Phases of CRISP-DM - Application in SPSS Modeler workflows |
| Modeling Techniques | - Regression and clustering methods - Classification models |
| Data Preparation | - Data cleaning and transformation - Feature selection and preprocessing |
| Data Mining Fundamentals | - Business understanding and analytics objectives - Core concepts of data mining |
| Model Evaluation and Validation | - Performance metrics - Model comparison and selection |
SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:
1. What will occur if the deployment data has a very different range than the data that was used in modeling?
A) The model will underpredict.
B) The model will overpredict.
C) The model nugget will automatically nullify those cases that are out of range .075.
D) The model may overpredict or underpredict.
2. True or false: the Feature Selection node adds a Model Nugget to the stream.
A) True
B) False
3. Which method would be used on the Merge node in order to combine a file containing 100 products and a file containing 50 suppliers and retain only the matching records?
A) Full outer join
B) Anti-join
C) Inner join
D) Partial outer join
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: C |
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