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IBM SPSS Modeler Professional v2 : C2020-010
- Exam Code: C2020-010
- Exam Name: IBM SPSS Modeler Professional v2
- Updated: Sep 09, 2026 Q&As: 55 Questions and Answers
- Q & A: 55 Questions and Answers
About IBM SPSS Modeler Professional v2 : C2020-010 Exam
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IBM C2020-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Administration and Troubleshooting | 10% | - Performance tuning and monitoring - Process Engine logs and diagnostics |
| Modeling | 25% | - Model types and Auto Modeling nodes - Supervised and unsupervised learning methods - SQL pushback and performance optimization |
| Business and Data Understanding | 20% | - CRISP-DM methodology and business objectives - Data visualization and distribution analysis - Data sources and import using Source nodes |
| Evaluation and Deployment | 15% | - Export and score new data - Monitoring deployed models - Model evaluation and comparison |
| Data Preparation | 30% | - Merge, Append, and Field operations - Data cleaning and transformation - Sampling, balancing, and dimensionality reduction - Type node and data coercion |
IBM SPSS Modeler Professional v2 Sample Questions:
Question #1
Some data mining models such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysts determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could aid with interpretation?
- A. Distribution node
- B. Evaluation node
- C. Plot node
- D. Histogram node
Correct Answer: D π³οΈ
Question #2
What are the options for defining outliers in the Data Audit node? (Choose two.)
- A. Inter quartile range
- B. Values that represent less than 1% of all values
- C. Standard deviations from the mean
- D. Eigen values greater than 1
Correct Answer: A,C π³οΈ
Question #3
Which Model nodes can have a categorical target field? (Choose three.)
- A. C&R Tree node
- B. Linear node
- C. Neural Net node
- D. Discriminant node
Correct Answer: A,C,D π³οΈ
Question #4
Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
- A. Table node
- B. Distribution node
- C. Means node
- D. Matrix node
Correct Answer: B,D π³οΈ
Question #5
Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of the following nodes? (Choose two.)
- A. Table node
- B. Sample node
- C. Data Audit node
- D. Statistics node
Correct Answer: C,D π³οΈ
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