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Last Updated: Sep 10, 2026
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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
| Model Building | - Classification and regression models - Clustering techniques - Association and sequence analysis |
| Data Preparation | - Data cleaning and transformation in SPSS Modeler - Data integration and sampling techniques - Handling missing values and outliers |
| Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
Business objectives are the origin of every data mining solution.
- A. False
- B. True
Which outlier treatment is not available in the Quality tab of the Data Audit output?
- A. Nullify
- B. Discard
- C. Coerce
- D. Recode
Which Model nodes can have a categorical target field? (Select all that apply)
- A. Discriminant node
- B. Neutral Net node
- C. C & R Tree node
- D. Linear node
Which statement is correct interpretation of the rule, "those that use less than or equal to
4.976 of LOCAL are predicted to be inVol "?
- A. This rule was accurate 88 times which was 80.7% of the time.
- B. The rule applies to 88 people and the confidence is 80.7%.
- C. The accuracy of this cannot be determined
- D. This rule does not exist.
Consider the output from the analysis node.
For the training data set, the Neutral Net and the C5 model make the same prediction:
- A. 87.62% of the time
- B. 93.80% of the time
- C. 92.77% of the time
- D. 87.79% of the time.
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