Exam Name: IBM SPSS Modeler Professional v3
Certification Provider: IBM
Corresponding Certification: IBM Certified Specialist
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Updated: Sep 20, 2026
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IBM C2090-930 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional v3 |
| Exam Number: | C2090-930 |
| Certificate Validity Period: | No official expiration |
| Passing Score: | 67% |
| Real Exam Qty: | 60 |
| Available Languages: | Japanese, Simplified Chinese, English |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 200 (varies by region) |
| Exam Format: | Multiple Choice, Multiple Response |
| Recommended Training: | Introduction to IBM SPSS Modeler and Data Science |
| Exam Registration: | Pearson VUE Registration IBM Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; practical experience with IBM SPSS Modeler and CRISP-DM recommended |
| 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: Modeling | 20% | - Classification and regression models - Auto modeling nodes - Segmentation/clustering models - Association models - Ensemble modeling |
| Topic 2: Evaluation and Analysis | 15% | - Model nugget interfaces - Use Evaluation and Analysis nodes - Interpret model results |
| Topic 3: Deployment | 10% | - Generate reports - Export data and results - Score new data using trained models |
| Topic 4: Business Understanding and Planning | 10% | - CRISP-DM methodology - Map business objectives to data mining goals |
| Topic 5: Data Preparation | 20% | - Data integration: Merge, Append nodes - Data transformation: Derive, Auto Data Prep, Filler nodes - Data refinement: Select, Filter, Aggregate nodes - Sampling, partitioning, balancing datasets |
| Topic 6: SPSS Modeler Professional Functionality | 10% | - Interface and node palettes - Scripting and automation - SuperNodes usage |
| Topic 7: Data Understanding | 15% | - Explore data with statistics and visualizations - Identify data quality issues: missing values, outliers |
C2090-930 Exam FAQ: Clear Answers
The official IBM SPSS Modeler Professional v3 outline splits the exam into 7 domains, led by SPSS Modeler Professional Functionality (10%), Data Understanding (15%), and Deployment (10%). The complete breakdown is in the topics section above; PremiumVCEDump's 60 practice questions cover every domain listed.
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The IBM SPSS Modeler Professional v3 exam includes 60 to answer within 90 minutes. Rehearsing that pace in the PremiumVCEDump Desktop Test Engine turns time pressure into a familiar routine.
No mandatory prerequisites; practical experience with IBM SPSS Modeler and CRISP-DM recommended Rules are updated occasionally, so confirm the current requirements on the official IBM exam page before you book.
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The C2090-930 exam is a IBM certification exam validating the knowledge in the IBM SPSS Modeler Professional v3 syllabus shown above. Candidates take it to prove their skills to employers in 2026's market, and PremiumVCEDump prepares them with 60 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
IBM recommends these training resources for the IBM SPSS Modeler Professional v3 exam:
Combine the official training with the 60 practice questions from PremiumVCEDump — that pairing reveals what you have truly absorbed.
Online proctored or at authorized Pearson VUE test centers Register for the IBM SPSS Modeler Professional v3 exam through these official channels:
After booking, your PremiumVCEDump practice questions arrive by email within 1 minute — preparation can begin immediately.
The IBM SPSS Modeler Professional v3 exam requires 67% to pass, and registration costs USD 200 (varies by region). Retakes cost the same again, so a readiness check with the PremiumVCEDump practice engines is a worthwhile step before booking.
IBM SPSS Modeler Professional v3 Sample Questions:
You have a data set with numeric fields (columns) that contain null values. You want to replace each of these null values with the value of zero.
Which node will you use to accomplish this task?
- A. Type node
- B. Filler node
- C. Filter node
- D. Binning node
Correct Answer: C 🗳️
What is an accurate description of the purpose of data segmentation?
- A. Assemble similar data across data sets by using a primary key.
- B. Separate an individual data field into a predefined number of equal-sized groups according to the field values.
- C. Separate a data set into two equal partitions in preparation for continued analysis.
- D. Group data using one or more fields to produce subsets with similar attributes.
Correct Answer: D 🗳️
When describing data, which two nodes address value types? (Choose two.)
- A. Type node
- B. Report node
- C. Statistics node
- D. Data Audit node
Correct Answer: A,D 🗳️
You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of five medications. The column. Drug, is a character field that describes the medication. You need to find out which proportion of the patients responded to each drug.
Which node should be used?
- A. Web node
- B. Distribution node
- C. Evaluation node
- D. Sim Fit node
Correct Answer: D 🗳️
What is the primary purpose of the Partition node in a modeling effort?
- A. Allow for equal sampling across subgroups within the data.
- B. Increase the proportion of under-represented subgroups within the data.
- C. Divide the data into training and testing data.
- D. Decrease the proportion of an over-represented subgroup within the data.
Correct Answer: D 🗳️
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