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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Advanced SPSS Modeler Features | - Stream optimization and performance tuning - Integration with IBM analytics ecosystem - Automated modeling (Auto Classifier, Auto Numeric) |
| Topic 2: Model Evaluation and Deployment | - Model validation and performance evaluation - Deployment of predictive models - Model comparison and selection |
| Topic 3: Model Building Techniques | - Classification and regression models - Association and sequence modeling - Clustering and segmentation methods |
| Topic 4: SPSS Modeler Fundamentals | - Data import and preparation basics - Data stream and project structure - Introduction to IBM SPSS Modeler environment |
| Topic 5: Data Preparation and Transformation | - Data cleaning and handling missing values - Field derivation and manipulation techniques - Data transformation and feature engineering |
IBM SPSS Modeler Professional v2 Sample Questions:
Suppose you wanted to select only the records with complete data on all the fields for analysis and need to generate a Select node to perform that operation. Which other node should you use to generate the Select node?
- A. Derive node
- B. Data Audit node
- C. Filter node
- D. Filler node
Correct Answer: B 🗳️
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. None of the above is accurate.
- D. Checks fully instantiated fields for values outside the specified range and converts unspecified values to legal values.
Correct Answer: D 🗳️
Which Model nodes can have a categorical target field? (Choose three.)
- A. Linear node
- B. Neural Net node
- C. Discriminant node
- D. C&R Tree node
Correct Answer: B,C,D 🗳️
Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Choose two.)
- A. Easter to score
- B. Higher accuracy
- C. Easier interpretation
- D. None of the above
Correct Answer: A,C 🗳️
What are the advantages of pruning Decision Tree models? (Choose three.)
- A. Pruning can increase the accuracy of the tree.
- B. Pruning can help simplify the tree.
- C. Pruning can improve the generalization of the tree.
- D. Pruning can make the tree easier to interpret.
Correct Answer: B,C,D 🗳️
