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IBM BAS-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Building Techniques | - Clustering and segmentation methods - Classification and regression models - Association and sequence modeling |
| Data Preparation and Transformation | - Data cleaning and handling missing values - Data transformation and feature engineering - Field derivation and manipulation techniques |
| SPSS Modeler Fundamentals | - Introduction to IBM SPSS Modeler environment - Data import and preparation basics - Data stream and project structure |
| Model Evaluation and Deployment | - Model validation and performance evaluation - Model comparison and selection - Deployment of predictive models |
| Advanced SPSS Modeler Features | - Stream optimization and performance tuning - Integration with IBM analytics ecosystem - Automated modeling (Auto Classifier, Auto Numeric) |
IBM SPSS Modeler Professional v2 Sample Questions:
1. Which values are available as Field Roles? (Choose three.)
A) Partition
B) Target
C) Input
D) Nominal
2. The Analysis node can be very useful with regard to model evaluation. Consider this output from the Analysis node.
When comparing the overall accuracy of the Neural Net model to the 05 model, the Neural Net model is:
A) The same accuracy
B) Less accurate
C) Not determined
D) More accurate
3. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
A) Means node
B) Table node
C) Matrix node
D) Distribution node
4. What are the options for defining outliers in the Data Audit node? (Choose two.)
A) Eigen values greater than 1
B) Standard deviations from the mean
C) Inter quartile range
D) Values that represent less than 1% of all values
5. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Forwards
B) Backwards
C) Enter
D) Stepwise
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: B,C | Question # 5 Answer: C |
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