- Exam Code: C2020-010
- Exam Name: IBM SPSS Modeler Professional v2
- Updated: Aug 10, 2026
- Q & A: 55 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Administration and Troubleshooting | 10% | - Performance tuning and monitoring - Process Engine logs and diagnostics |
| Data Preparation | 30% | - Data cleaning and transformation - Sampling, balancing, and dimensionality reduction - Type node and data coercion - Merge, Append, and Field operations |
| Evaluation and Deployment | 15% | - Export and score new data - Monitoring deployed models - Model evaluation and comparison |
| Modeling | 25% | - Supervised and unsupervised learning methods - Model types and Auto Modeling nodes - SQL pushback and performance optimization |
| Business and Data Understanding | 20% | - Data sources and import using Source nodes - CRISP-DM methodology and business objectives - Data visualization and distribution analysis |
1. Which statement is correct regarding the Sample node dialog shown below?
A) It will randomly select exactly 60% of all the records.
B) It will always draw the same 60% of the records each time this Sample node is run.
C) It will select every 60th record from the data.
D) It will select approximately 60% of the records. That is, each record will have a 60% probability of being selected.
2. In the Aggregate node, when you click on Preview button, which statement is true?
A) The preview will always be before aggregation.
B) The preview will by default be before aggregation but that can be changed.
C) The preview will always be after aggregation.
D) The Aggregate node does not have a Preview option.
3. Which statement accurately describes the function of the Coerce data check setting on the Type node?
A) Checks all fields for values outside the specified range and reports unspecified values.
B) Checks fully instantiated fields for values outside the specified range and reports unspecified values.
C) Checks fully instantiated fields for values outside the specified range and converts unspecified values to legal values.
D) None of the above is accurate.
4. Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Choose two.)
A) Easter to score
B) None of the above
C) Higher accuracy
D) Easier interpretation
5. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Enter
B) Backwards
C) Stepwise
D) Forwards
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A,D | Question # 5 Answer: A |
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