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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation | - Handling missing values and outliers - Data cleaning and transformation in SPSS Modeler - Data integration and sampling techniques |
| Topic 2: Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
| Topic 3: Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
| Topic 4: Model Building | - Association and sequence analysis - Classification and regression models - Clustering techniques |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
Question 1
After the binning node and Optimal binning on debt to income ratio Previously defaulted as the Supervisor field, we observe in matrix the following relationship between the behind field and previously defaulted.
This relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the banned field as maximized.
A. True
B. False
Question 2
A Balance node cannot be generated from Distribution node output.
A. True
B. False
Question 3
Business objectives are the origin of every data mining solution.
A. True
B. False
Question 4
Once a model has been developed, it needs to be monitored to be determining when it needs to be replaced. Which of the following is not a reason for replacing the model?
A. New customer in database.
B. Changes in marketing strategies by your firm.
C. Changes in general economy.
D. New products and services sold by your firm.
Question 5
Looking at the gains chart shown below, which model has a higher level of accuracy when predicting Churn = "Y"?
A. The models are equivalent
B. Predictive accuracy cannot be determined from this gains chart
C. The structured and unstructured data model
D. The structured data model
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: C |
