Last Updated: Jul 27, 2026
No. of Questions: 25 Questions & Answers with Testing Engine
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| Section | Objectives |
|---|---|
| Model Deployment and Reporting | - Model export and deployment concepts - Reporting and visualization basics |
| Model Evaluation and Validation | - Model accuracy metrics - Model comparison and selection - Training and test dataset split |
| Data Mining and Analytics Fundamentals | - Business understanding and data understanding - CRISP-DM methodology overview |
| Model Building Techniques | - Clustering methods - Classification models - Association analysis - Regression models |
| Data Preparation and Transformation | - Feature engineering and derivation - Data formatting and type conversion - Data cleaning and missing value handling |
| IBM SPSS Modeler Environment | - Data sources and import methods - Project organization and workflow design - Streams and nodes concept |
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