Exam Name: IBM SPSS Modeler Professional v2
Certification Provider: IBM
Corresponding Certification: IBM Certified Specialist
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IBM BAS-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: SPSS Modeler Fundamentals | - Introduction to IBM SPSS Modeler environment - Data import and preparation basics - Data stream and project structure |
| Topic 2: Model Building Techniques | - Classification and regression models - Association and sequence modeling - Clustering and segmentation methods |
| Topic 3: Advanced SPSS Modeler Features | - Integration with IBM analytics ecosystem - Stream optimization and performance tuning - Automated modeling (Auto Classifier, Auto Numeric) |
| Topic 4: Model Evaluation and Deployment | - Deployment of predictive models - Model comparison and selection - Model validation and performance evaluation |
| 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:
In the Aggregate node, when you click on Preview button, which statement is true?
- A. The preview will by default be before aggregation but that can be changed.
- B. The preview will always be after aggregation.
- C. The preview will always be before aggregation.
- D. The Aggregate node does not have a Preview option.
Correct Answer: B 🗳️
The Select node shown below performs which operation?
- A. Selects respondents whose incomes are greater than or equal to 20,000 and less than or equal to 50,000.
- B. The expression is incorrect.
- C. Selects respondents whose incomes are between 20,000 and 50,000.
- D. Selects respondents whose incomes are exactly 20,000 or 50,000.
Correct Answer: B 🗳️
Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if there are $null$ missing values in one or more fields. Which expression would accomplish this task?
- A. to_real(A) + to_real(B) + to_real(C) + to_real(D)
- B. sum_n([A, B, C, D])
- C. A+B+C+D
- D. Sum_n((ABCIJ))
Correct Answer: B 🗳️
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. Not determined
- B. More accurate
- C. The same accuracy
- D. Less accurate
Correct Answer: D 🗳️
The Distribution node produces which output? (Choose two.)
- A. Chart showing the count for each category of a field
- B. Summary statistics for a continuous field
- C. Chart showing the distribution for a continuous field
- D. Table displaying the percentage and count for each category of a field
Correct Answer: A,D 🗳️
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