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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Deployment | - Scoring and deployment workflows - Operationalizing predictive models |
| Model Evaluation and Validation | - Model comparison and selection - Performance metrics |
| Data Preparation | - Feature selection and preprocessing - Data cleaning and transformation |
| CRISP-DM Methodology | - Application in SPSS Modeler workflows - Phases of CRISP-DM |
| Data Mining Fundamentals | - Business understanding and analytics objectives - Core concepts of data mining |
| IBM SPSS Modeler Environment | - Interface and stream design - Data flow and node usage |
| Modeling Techniques | - Regression and clustering methods - Classification models |
SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:
1. To correctly read the Excel@ file shown below,
which dialog box settings are appropriate?
A) B)
D)
A) Exhibit C
B) Exhibit B
C) Exhibit A
D) Exhibit D
2. True or false: in the stream below
, the CHAID node and Neural Net node can be combined in a single Supernode.
A) True
B) False
3. True or false: given the information in the Data Audit Quality table below, the generated Filter node will exclude only the fields logwire, logequi, logtoll, and logcard.
A) True
B) False
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A |
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