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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: CRISP-DM Methodology | - Application in SPSS Modeler workflows - Phases of CRISP-DM |
| Topic 2: Data Mining Fundamentals | - Core concepts of data mining - Business understanding and analytics objectives |
| Topic 3: Model Deployment | - Scoring and deployment workflows - Operationalizing predictive models |
| Topic 4: Model Evaluation and Validation | - Performance metrics - Model comparison and selection |
| Topic 5: Data Preparation | - Data cleaning and transformation - Feature selection and preprocessing |
| Topic 6: IBM SPSS Modeler Environment | - Interface and stream design - Data flow and node usage |
| Topic 7: Modeling Techniques | - Classification models - Regression and clustering methods |
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 B
B) Exhibit D
C) Exhibit A
D) Exhibit C
2. A prison system has historical data on prison inmates and wants to find what factors are related to recidivism (return to prison). What type of model would be used?
A) Segmentation model
B) Association model
C) Anomaly model
D) Classification model
3. An online retailer wants to identify groups of customers based on components of their buying behavior, such as types of products purchased, volume of purchases, and frequency of purchases. What type of model would be used?
A) Segmentation model
B) Sequence model
C) Association model
D) Classification model
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A |
Bertha 
Lester 
Michelle 
Stev 
Berton 
Payne 
James 
Bing 
Renata 
Antoine 
Jodie 
Ingrid 
Lucien 
Broderick 
Yale 
Donna 
Armstrong 
