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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 20% | - Auto-modeling and ensemble techniques - Classification and regression models - Association and sequence models - Clustering and segmentation models |
| SPSS Modeler Professional Functionality | 10% | - Stream creation and management - Scripting and automation - Node palettes and SuperNodes |
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Data Preparation | 20% | - Filtering, aggregation and refinement - Data integration, merging and appending - Data transformation and cleaning - Sampling, partitioning and balancing |
| Deployment | 10% | - Scoring new data - Reporting and documentation - Stream export and integration |
| Evaluation and Analysis | 15% | - Interpretation and visualization of results - Model performance assessment - Validation methods |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Which method is not available for imputing missing values in Data Audit output?
A) Expression
B) Random
C) Fixed
D) Multiple
2. The Distribution node produces which output? (Select all that apply)
A) Chart showing the distribution for a continuous field
B) Chart showing the count for each category of 3 field
C) Summary statistics for a continuous field
D) Table displaying the percentage and count for each category of a field
3. In a derive node, which expressions will produce a continuous data type rather than a string? (Select all that apply)
A) "03/15/2009"
B) To_date("12/01/2050")
C) Datetime_date(2008.05.22)
D) "2001-04-23"
4. Given the following Output Table to create a select node which includes vehicles from both groups A and B, click on A and on B (as shown) and select from the menu.
A) Generate ... Select Node ("Or")
B) Generate ... Select Node ("And")
5. Consider the output from the analysis node.
For the training data set, the Neutral Net and the C5 model make the same prediction:
A) 87.79% of the time.
B) 92.77% of the time
C) 87.62% of the time
D) 93.80% of the time
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |








