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IBM C2020-010日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Access and Source Nodes | 20% | - Variable types and measurement levels - Import data from files and databases - Data preview and metadata inspection |
| Data Exploration and Visualization | 15% | - Descriptive statistics and distributions - Graph nodes: histograms, scatterplots, bar charts - Correlation and association analysis |
| Introduction to SPSS Modeler and CRISP-DM | 15% | - Project and stream management - CRISP-DM methodology - Modeler interface and workbench |
| Model Evaluation and Deployment | 5% | - Model comparison and selection - Export and deploy models - Model accuracy and performance metrics |
| Data Preparation and Manipulation | 25% | - Merge and append datasets - Field operations: derive, filter, reclassify, binning - Record operations: select, sort, aggregate, sample - Handling missing values and outliers |
| Modeling Techniques | 20% | - Neural networks and decision trees - Association rules and sequence detection - Classification and regression models - Clustering and segmentation |
IBM SPSS Modeler Professional v2 (C2020-010日本語版) Sample Questions:
- A. Option A
- B. Option D
- C. Option C
- D. Option B
- A. Business Understanding
- B. Modeling
- C. Evaluation
- D. Data Preparation
- A. Option A
- B. Option D
- C. Option C
- D. Option B
- A. Option A
- B. Option D
- C. Option C
- D. Option B
- A. Option A
- B. Option D
- C. Option C
- D. Option B
