Pass your actual test with our Huawei H13-731_V3.0 training material at first attempt
Updated: Aug 19, 2026
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| Certification Vendor: | Huawei |
| Exam Name: | HCIE-Big Data-Data Mining (Written) V3.0 |
| Exam Number: | H13-731_V3.0 |
| Exam Price: | USD 300 |
| Real Exam Qty: | 60-70 |
| Exam Format: | Single-choice, Multiple-choice, True/False, Fill-in-blank, Drag-and-drop, Scenario-based |
| Exam Duration: | 90 minutes |
| Passing Score: | 600 / 1000 |
| Related Certifications: | HCIE-Big Data HCIA-Big Data HCIP-Big Data |
| Certificate Validity Period: | 2 years + 1 year grace period |
| Available Languages: | English, Chinese |
| Recommended Training: | HCIE-Big Data-Data Mining V3.0 Course Huawei Official Training |
| Exam Registration: | Pearson VUE Registration Huawei Official Certification Site |
| Exam Way: | Online proctored or onsite at authorized Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended HCIP-Big Data or equivalent knowledge, plus 3+ years of relevant big data experience |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification |
| Section | Weight | Objectives |
|---|---|---|
| Data Mining Algorithms | 30% | - Anomaly detection and pattern recognition - Clustering and association rule mining - Classification and regression algorithms |
| Data Preprocessing and Feature Engineering | 20% | - Handling missing values and outliers - Data cleaning, integration and transformation - Feature selection, extraction and dimensionality reduction |
| Huawei Big Data Platform and Solutions | 10% | - FusionInsight architecture and components - Data mining and analysis tools on Huawei ecosystem - Solution deployment and performance optimization |
| Big Data and Data Mining Fundamentals | 20% | - Data mining concepts, processes and applications - Big Data architecture and ecosystem - Statistics and probability foundations |
| Machine Learning and Distributed Analytics | 20% | - Model training, validation and evaluation - Hyperparameter tuning and optimization - Distributed computing frameworks (Spark, Hadoop) |
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