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Huawei H13-731_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Platform and Solutions | 10% | - FusionInsight architecture and components - Data mining and analysis tools on Huawei ecosystem - Solution deployment and performance optimization |
| Topic 2: Big Data and Data Mining Fundamentals | 20% | - Data mining concepts, processes and applications - Big Data architecture and ecosystem - Statistics and probability foundations |
| Topic 3: Data Mining Algorithms | 30% | - Classification and regression algorithms - Anomaly detection and pattern recognition - Clustering and association rule mining |
| Topic 4: Machine Learning and Distributed Analytics | 20% | - Hyperparameter tuning and optimization - Distributed computing frameworks (Spark, Hadoop) - Model training, validation and evaluation |
| Topic 5: Data Preprocessing and Feature Engineering | 20% | - Feature selection, extraction and dimensionality reduction - Data cleaning, integration and transformation - Handling missing values and outliers |
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