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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| SPSS Modeler Professional Functionality | 10% | - Stream creation and management - Scripting and automation - Node palettes and SuperNodes |
| Deployment | 10% | - Stream export and integration - Reporting and documentation - Scoring new data |
| Modeling | 20% | - Clustering and segmentation models - Association and sequence models - Classification and regression models - Auto-modeling and ensemble techniques |
| Data Preparation | 20% | - Sampling, partitioning and balancing - Filtering, aggregation and refinement - Data transformation and cleaning - Data integration, merging and appending |
| Business Understanding and Planning | 10% | - CRISP-DM methodology - Align business objectives to data mining goals |
| Evaluation and Analysis | 15% | - Interpretation and visualization of results - Validation methods - Model performance assessment |
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Which key items must be identified before a data mining project is started? (Select all that apply)
A) Available data
B) Available expertise on the data and business
C) Data quality problem
D) A business problem or question
2. The Feature Selection node is used for what reasons? (Select all that apply)
A) Selects the best fitting model
B) Ranks the model by importance.
C) Selects the best input fields for model.
D) Screens input fields for problems such as missing data.
3. To score new data using an existing model, the user must:
A) Not change the data source and develop a new model for that data.
B) Change the data source and develop a new model for that data.
C) Change the data source and rename the fields so they do not match the names of the fields in original file.
D) Change the data source and rename the fields as needed to match the names of the in original file.
4. Consider the Filer node where age of respondent is stored as a string. What operations will the replace with: expression accomplishes?
A) Converts numeric values to integers and leaves the non-numeric as is.
B) The expression is not a valid operation.
C) Converts numeric values to integers and converts non-numeric values to $null$ value.
D) Users @ FIELD to create a new field.
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 data model
D) The structured and unstructured data model
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: B,D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |







