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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 20% | - Applying data mining techniques - CRISP-DM methodology |
| Evaluation and Deployment | 15% | - Model assessment - Interpreting and exporting results |
| Data Understanding | 20% | |
| Business Understanding | 15% | |
| Data Preparation | 30% | - Combining and restructuring data - Sampling, aggregating and cleaning data - Automated data preparation - Deriving and reclassifying variables - General operations in SPSS Modeler |
SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:
True or false: the optimal binning method in the Binning node uses a Supervisor field to determine the binning cut points.
- A. True
- B. False
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. Anomaly model
- C. Association model
- D. Classification model
Which node can be used to easily generate a field that divides the data into subsamples for the Training and Testing stages of modeling?
- A. Balance
- B. Sample
- C. Filler
- D. Partition
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