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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
| Model Building | - Clustering techniques - Classification and regression models - Association and sequence analysis |
| Data Preparation | - Data cleaning and transformation in SPSS Modeler - Handling missing values and outliers - Data integration and sampling techniques |
| Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
Which Decision Tree method can only work categorical (non-continuous) targets? (Select all that apply)
- A. C & RT
- B. C5
- C. QUEST
- D. CHAID
Assuming there are enough records and Age in years and Years of current address have sufficient range of values, the Binning node below will produce how many new fields?
- A. 2 new fields, one for each Bin field
- B. 6 new fields, two for each Bin field and two measures of error
- C. 1 new field which is behind sum of age of years and years at current address
- D. 4 new fields, two for each Bin field
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. 92.77% of the time
- C. 93.80% of the time
- D. 87.79% of the time.
Assume that you have the field A, B, C, and D and you wish to find the sum of values even if there are $null$ missing values in one or more fields.
Which expression would accomplish this task?
- A. to_real (A)+ to_real (B)+ to_real (C)+ to_real (D)
- B. sum_n( [A, B, C, D])
- C. sum_n(A B C D})
- D. A+B+C+D
Which method is not available for imputing missing values in Data Audit output?
- A. Random
- B. Expression
- C. Multiple
- D. Fixed
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