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IBM C2020-010日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Access and Source Nodes | 20% | - Variable types and measurement levels - Import data from files and databases - Data preview and metadata inspection |
| Topic 2: Modeling Techniques | 20% | - Classification and regression models - Clustering and segmentation - Neural networks and decision trees - Association rules and sequence detection |
| Topic 3: Model Evaluation and Deployment | 5% | - Model comparison and selection - Export and deploy models - Model accuracy and performance metrics |
| Topic 4: Introduction to SPSS Modeler and CRISP-DM | 15% | - Project and stream management - Modeler interface and workbench - CRISP-DM methodology |
| Topic 5: Data Exploration and Visualization | 15% | - Correlation and association analysis - Graph nodes: histograms, scatterplots, bar charts - Descriptive statistics and distributions |
| Topic 6: Data Preparation and Manipulation | 25% | - Field operations: derive, filter, reclassify, binning - Merge and append datasets - Record operations: select, sort, aggregate, sample - Handling missing values and outliers |
IBM SPSS Modeler Professional v2 (C2020-010日本語版) Sample Questions:
1. 


A) Option A
B) Option B
C) Option D
D) Option C
2. 
A) Option A
B) Option B
C) Option D
D) Option C
3. 


A) Option A
B) Option B
C) Option D
D) Option C
4. 
A) Option A
B) Option B
C) Option D
D) Option C
5. 


A) Option A
B) Option B
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A,C | Question # 5 Answer: A |

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