Prepare with SPSS IBMSPSSMPRO exam practice material, pass for sure
Updated: Aug 10, 2026
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SPSS IBMSPSSMPRO Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM SPSS Modeler Professional |
| Exam Number: | IBMSPSSMPRO / C2090-930 |
| Exam Price: | USD 200 (varies by region) |
| Certificate Validity Period: | Not officially specified |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Passing Score: | 67% (approx. 800/1000 scaled) |
| Exam Format: | Multiple Choice, Multiple Response, Scenario-Based |
| Available Languages: | English, Japanese |
| Recommended Training: | IBM Official Training |
| Exam Registration: | Pearson VUE IBM Registration |
| Sample Questions: | SPSS IBMSPSSMPRO Sample Questions |
| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months hands-on experience with IBM SPSS Modeler v3 and knowledge of CRISP-DM |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-modeler-professional-v3-47100203 |
SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deployment | 10% | - Scoring new data - Reporting and documentation - Stream export and integration |
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| SPSS Modeler Professional Functionality | 10% | - Stream creation and management - Node palettes and SuperNodes - Scripting and automation |
| Evaluation and Analysis | 15% | - Validation methods - Model performance assessment - Interpretation and visualization of results |
| Modeling | 20% | - Classification and regression models - Association and sequence models - Auto-modeling and ensemble techniques - Clustering and segmentation models |
| Data Preparation | 20% | - Data transformation and cleaning - Data integration, merging and appending - Filtering, aggregation and refinement - Sampling, partitioning and balancing |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. What is the reason that the three nodes in the following figure have been colored purple?
A) The purple nodes will be executed later.
B) The purple nodes were pushed back to the database.
C) IBM SPSS Modeler is running out of memory.
D) There are multiple type nodes in a row.
2. The set Random seed option on the sample node is required if you want to draw the same random sample with the same records more than once.
A) False
B) True
3. In IBM SPSS Modeler modeling nodes, the option to build split models refers to building a separate model for each possible value of input fields that are defined as split role.
A) False
B) True
4. Generally speaking, to modify values in columns of working data file, you would use nodes from which palette or menu group?
A) Sources
B) Record Ops
C) Export
D) Field Ops
5. Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of following nodes? (Select all that apply)
A) Data Audit node
B) Statistics node
C) Sample node
D) Table node
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A,B,C,D |
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