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SPSS IBMSPSSMPRO : IBM SPSS Modeler Professional Certification
- Exam Code: IBMSPSSMPRO
- Exam Name: IBM SPSS Modeler Professional Certification
- Updated: Aug 10, 2026 Q&As: 73 Questions and Answers
About SPSS IBMSPSSMPRO Exam
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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| SPSS Modeler Professional Functionality | 10% | - Scripting and automation - Node palettes and SuperNodes - Stream creation and management |
| Data Preparation | 20% | - Data transformation and cleaning - Sampling, partitioning and balancing - Data integration, merging and appending - Filtering, aggregation and refinement |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
| Deployment | 10% | - Scoring new data - Stream export and integration - Reporting and documentation |
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Modeling | 20% | - Clustering and segmentation models - Association and sequence models - Classification and regression models - Auto-modeling and ensemble techniques |
| Evaluation and Analysis | 15% | - Interpretation and visualization of results - Model performance assessment - Validation methods |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Which method is not available for imputing missing values in Data Audit output?
A) Random
B) Fixed
C) Expression
D) Multiple
2. Which Model nodes can have a categorical target field? (Select all that apply)
A) Neutral Net node
B) Linear node
C) Discriminant node
D) C & R Tree node
3. The Distribution node produces which output? (Select all that apply)
A) Chart showing the distribution for a continuous field
B) Summary statistics for a continuous field
C) Table displaying the percentage and count for each category of a field
D) Chart showing the count for each category of 3 field
4. Which Source node would you use to read text from a free field (delimited) text file?
A) Enterprise View node
B) Data Collection node
C) Var. File node
D) Fixed File node
5. Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistence in the category keys used in both in the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:
A) A partial outer join
B) An anti-join
C) A full outer join
D) An inner join
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,C | Question # 3 Answer: A,C | Question # 4 Answer: C | Question # 5 Answer: C |
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