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IBM C2020-010日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Modeling	25%	- Supervised and unsupervised learning methods - SQL pushback and performance optimization - Model types and Auto Modeling nodes
Topic 2: Administration and Troubleshooting	10%	- Performance tuning and monitoring - Process Engine logs and diagnostics
Topic 3: Evaluation and Deployment	15%	- Model evaluation and comparison - Monitoring deployed models - Export and score new data
Topic 4: Business and Data Understanding	20%	- Data visualization and distribution analysis - CRISP-DM methodology and business objectives - Data sources and import using Source nodes
Topic 5: Data Preparation	30%	- Type node and data coercion - Sampling, balancing, and dimensionality reduction - Data cleaning and transformation - Merge, Append, and Field operations