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IBM C2020-010日本語 Exam Syllabus Topics:

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