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Last Updated: Oct 29, 2026
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A certification is more than paper — it is evidence of ability that many professionals treat as a benchmark in their field — and the IBM SPSS Modeler Professional v3 materials at Exam4Docs exist to help you earn that evidence with 60+ Q&As covering the IBM SPSS Modeler Professional v3 objectives.
IBM C2090-930 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional v3 |
| Exam Number: | C2020-930 |
| Real Exam Qty: | 60 |
| Passing Score: | 800/1000 |
| Exam Duration: | 120 minutes |
| Related Certifications: | IBM Certified Specialist - SPSS Modeler Professional v3 |
| Certificate Validity Period: | Not officially specified |
| Exam Format: | Multiple Response, Multiple Choice, Scenario-based Questions |
| Available Languages: | English |
| Exam Price: | USD 200 |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Authorized Pearson VUE testing center or online proctored delivery where available. |
| Pre Condition: | No mandatory prerequisite exam. IBM recommends practical experience with IBM SPSS Modeler Professional v3 and familiarity with the CRISP-DM methodology. |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-modeler-professional-v3-47100203 |
IBM C2090-930 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 10% | - Deploy analytical solutions
|
| Topic 2: Evaluation and Analysis | 15% | - Evaluate model results
|
| Topic 3: Data Understanding | 15% | - Explore and assess data
|
| Topic 4: Data Preparation | 20% | - Prepare and refine data
|
| Topic 5: SPSS Modeler Professional Functionality | 10% | - Core functionality
|
| Topic 6: Business Understanding and Planning | 10% | - Business planning
|
| Topic 7: Modeling | 20% | - Build predictive models
|
Preparing for C2090-930 with Exam4Docs: The Essentials
- SPSS Modeler Professional Functionality (10%)
- Business Understanding and Planning (10%)
- Deployment (10%)
IBM SPSS Modeler Professional v3 Sample Questions:
You have executed a model node which has generated a model nugget connected to your stream's data source.
What will allow the stream to score data with this new nugget?
- A. Add an output node downstream from the nugget.
- B. Remove the Reclassify node to use the nugget model for scoring.
- C. Add a Discriminant node to use the nugget model for scoring.
- D. Remove any partition node to allow all data to be scored.
Correct Answer: B 🗳️
What is an accurate description of the purpose of data segmentation?
- A. Group data using one or more fields to produce subsets with similar attributes.
- B. Assemble similar data across data sets by using a primary key.
- C. Separate an individual data field into a predefined number of equal-sized groups according to the field values.
- D. Separate a data set into two equal partitions in preparation for continued analysis.
Correct Answer: A 🗳️
Which statement is correct about automated modeling nodes in IBM SPSS Modeler Professional?
- A. The Auto Numeric node generates Linear models.
- B. The Auto Classifier node supports Cox regression.
- C. The Auto Clustering node generates Neural Net models.
- D. The Auto Numeric node supports Bayes Net models.
Correct Answer: A 🗳️
Which two statements are true about linear regression? (Choose two.)
- A. The estimation method of coefficient is ordinary least squares.
- B. Adjusted R-Squared is not a measure for Goodness-of-Fit.
- C. The calculation of the predictor importance is based on Regression Sum-of-Squares.
- D. Methods for variable entry and removal are Enter Stepwise, Forward, and Backward.
Correct Answer: C,D 🗳️
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You need to score future data using an association model.
Which statement describes the data format requirement to do this?
- A. Any association model can be used to score both transactional and tabular data: regardless of the format of the input data used to build the model.
- B. An association model built using tabular data can be used to score transactional data.
- C. An association model built using transactional data can only be used to score transactional data; an association model built using tabular data can only be used to score tabular data.
- D. An association model built using transactional data can be used to score tabular data.
Correct Answer: B 🗳️
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