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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Transformation | - Data cleaning and handling missing values - Data transformation and feature engineering - Field derivation and manipulation techniques |
| Topic 2: Model Building Techniques | - Classification and regression models - Association and sequence modeling - Clustering and segmentation methods |
| Topic 3: Model Evaluation and Deployment | - Model validation and performance evaluation - Model comparison and selection - Deployment of predictive models |
| Topic 4: Advanced SPSS Modeler Features | - Automated modeling (Auto Classifier, Auto Numeric) - Integration with IBM analytics ecosystem - Stream optimization and performance tuning |
| Topic 5: SPSS Modeler Fundamentals | - Data import and preparation basics - Data stream and project structure - Introduction to IBM SPSS Modeler environment |
IBM SPSS Modeler Professional v2 Sample Questions:
The Anomaly node is on which palette or menu group?
- A. Modeling
- B. Output
- C. Record Ops
- D. Field Ops
Correct Answer: A 🗳️
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. The same accuracy
- C. More accurate
- D. Less accurate
Correct Answer: D 🗳️
In a Derive node, which expressions will produce a continuous date lype rather than a string? (Choose two.)
- A. datetime_date(2008,05,22)
- B. '2001-04-23
- C. '03/15/2009'
- D. to_date("12/04/2050")
Correct Answer: A,D 🗳️
Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistencies in the category keys used in both the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:
- A. A partial outer join.
- B. An anti-join.
- C. An inner join.
- D. A full outer join.
Correct Answer: D 🗳️
In the Gains Chart displayed below, what does the $BEST-CHURNED line represent?
- A. The theoretically best model to predict the field CHURNED
- B. The best current model to predict the field CHURNED
- C. None of the above
- D. The best model for cases in the training partition to predict the field CHURNED
Correct Answer: A 🗳️
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