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Real SPSS IBMSPSSMPRO practice exam questions for easy pass!
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 |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | Not officially specified |
| Passing Score: | 67% (approx. 800/1000 scaled) |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 200 (varies by region) |
| 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 |
|---|---|---|
| Topic 1: Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
| Topic 2: Modeling | 20% | - Association and sequence models - Clustering and segmentation models - Auto-modeling and ensemble techniques - Classification and regression models |
| Topic 3: SPSS Modeler Professional Functionality | 10% | - Stream creation and management - Scripting and automation - Node palettes and SuperNodes |
| Topic 4: Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Topic 5: Data Preparation | 20% | - Data integration, merging and appending - Sampling, partitioning and balancing - Data transformation and cleaning - Filtering, aggregation and refinement |
| Topic 6: Deployment | 10% | - Reporting and documentation - Stream export and integration - Scoring new data |
| Topic 7: Evaluation and Analysis | 15% | - Model performance assessment - Validation methods - Interpretation and visualization of results |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Which statements are true of the Feature Selection node? (Select all that apply)
A) The Input fields can only be continuous measurement.
B) Input fields can be selected on the basis or importance.
C) The Target fields can be either categorical or continuous measurement.
D) When a target field is not specified then it will create a generalized output.
2. 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 rename the fields so they do not match the names of the fields in original file.
C) Change the data source and develop a new model for that data.
D) Change the data source and rename the fields as needed to match the names of the in original file.
3. Assuming there are enough records and Age in years and Years of current address have sufficient range of values, the Binning node below will produce how many new fields?
A) 1 new field which is behind sum of age of years and years at current address
B) 4 new fields, two for each Bin field
C) 6 new fields, two for each Bin field and two measures of error
D) 2 new fields, one for each Bin field
4. In a derive node, which expressions will produce a continuous data type rather than a string? (Select all that apply)
A) To_date("12/01/2050")
B) Datetime_date(2008.05.22)
C) "2001-04-23"
D) "03/15/2009"
5. Which statement about the filer dialogue shown below is correct?
A) None of the statements is correct.
B) No missing values will be replaced because neither field was specified in Condition box for missing value replacement.
C) The missing values for both AGE and INCOME will be replaced by zeroes.
D) Missing values for the field @FIELD will be replaced.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |
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