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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SPSS Modeler Professional Functionality | 10% | - Stream creation and management - Node palettes and SuperNodes - Scripting and automation |
| Topic 2: Modeling | 20% | - Clustering and segmentation models - Classification and regression models - Association and sequence models - Auto-modeling and ensemble techniques |
| Topic 3: Evaluation and Analysis | 15% | - Interpretation and visualization of results - Model performance assessment - Validation methods |
| Topic 4: Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Topic 5: Deployment | 10% | - Stream export and integration - Scoring new data - Reporting and documentation |
| Topic 6: Data Preparation | 20% | - Data integration, merging and appending - Data transformation and cleaning - Filtering, aggregation and refinement - Sampling, partitioning and balancing |
| Topic 7: Business Understanding and Planning | 10% | - CRISP-DM methodology - Align business objectives to data mining goals |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Some data mining model such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysis determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could ad with interpretation?
A) Plot node
B) Histogram node
C) Distribution node
D) Evaluation node
2. In the regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Forwards
B) Backwards
C) Stepwise
D) Enter
3. When using the algorithm method to replace missing values in data audit output, which algorithm is used?
A) Cox Regression
B) C5.0
C) Neural Net
D) C & RT
4. Which outlier treatment is not available in the Quality tab of the Data Audit output?
A) Discard
B) Recode
C) Nullify
D) Coerce
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) The structured data model
C) Predictive accuracy cannot be determined from this gains chart
D) The structured and unstructured data model
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |


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