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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluation and Deployment | 15% | - Model assessment - Interpreting and exporting results |
| Topic 2: Data Understanding | 20% | |
| Topic 3: Modeling | 20% | - Applying data mining techniques - CRISP-DM methodology |
| Topic 4: Data Preparation | 30% | - General operations in SPSS Modeler - Sampling, aggregating and cleaning data - Combining and restructuring data - Automated data preparation - Deriving and reclassifying variables |
| Topic 5: Business Understanding | 15% |
SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:
1. True or false: IBM SPSS Modeler builds a new model when a new data set is passed through a Model Nugget.
A) False
B) True
2. What will occur if the deployment data has a very different range than the data that was used in modeling?
A) The model nugget will automatically nullify those cases that are out of range .075.
B) The model will overpredict.
C) The model will underpredict.
D) The model may overpredict or underpredict.
3. Which node can be used to impute (estimate) missing values?
A) Reclassify node
B) Filler node
C) Data Audit node
D) Balance node
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C |







