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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 20% | - Association and sequence models - Clustering and segmentation models - Auto-modeling and ensemble techniques - Classification and regression models |
| Data Preparation | 20% | - Filtering, aggregation and refinement - Data transformation and cleaning - Data integration, merging and appending - Sampling, partitioning and balancing |
| SPSS Modeler Professional Functionality | 10% | - Node palettes and SuperNodes - Stream creation and management - Scripting and automation |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
| Evaluation and Analysis | 15% | - Model performance assessment - Interpretation and visualization of results - Validation methods |
| Deployment | 10% | - Reporting and documentation - Scoring new data - Stream export and integration |
| Data Understanding | 15% | - Identify data quality issues - Explore and visualize data |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
The Select node shown below performs which operation?
- A. Selects respondents whose incomes are between 20,000 and 50,000.
- B. The expression is incorrect.
- C. Selects respondents whose incomes are greater than or equal to 20, 000 and less than or equal to 50,000.
- D. Selects respondents whose incomes are exactly 20,000 or 50,000.
Assume you have a data file which has the first and last name (Called FIRST_NAME and LAST_NAME respectively). You would use a Derive node to create a field named FULL_NAME containing values with first name, space, last name. Which expression would produce the correct result?
- A. FIRST_NAME ** ++ ** LAST_NAME
- B. FIRST_NAME >< ** >< LAST_NAME
- C. FIRST_NAME + ** + LAST_NAME
- D. FIRST_NAME >< LAST_NAME
Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?
- A. Statistics node
- B. Table node
- C. Distribution node
- D. Means node
Which of the following is the biggest advantage of using a data cache?
- A. Applying modifications to new data more easily
- B. Using the prepared data file more efficiently
- C. Integrating the modified data with the original data source
- D. Creating reports or doing other analyses with other software
On the PCA/Factor node when doing a Principle Component analysis without rotation, the values reported on the Component Matrix represents the correlation between each field and factor.
- A. False
- B. True
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