Exam Code: H13-731_V3.0
Exam Name: HCIE-Big Data-Data Mining (Written) V3.0
Certification Provider: Huawei
Corresponding Certification: Huawei-certification

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Name: Huawei H13-731_V3.0 Exam
Brand: Huawei
SKU: H13-731_V3.0
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Updated: Jul 17, 2026

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Huawei H13-731_V3.0 Exam Overview:

Certification Vendor:	Huawei
Exam Name:	HCIE-Big Data-Data Mining (Written) V3.0
Exam Number:	H13-731_V3.0
Exam Duration:	90 minutes
Related Certifications:	HCIE-Big Data
Real Exam Qty:	60
Certificate Validity Period:	3 years
Passing Score:	600/1000
Exam Price:	USD 300
Exam Format:	Single-answer Question, Multiple-answer Question, True or False, Drag and Drop, Short Response Item
Available Languages:	English, Chinese
Exam Way:	Pearson VUE Test Center or Huawei Authorized Exam Center (subject to regional availability).
Pre Condition:	Huawei recommends candidates have HCIP-Big Data or equivalent big data and machine learning knowledge before attempting HCIE-Big Data expert-level certification.
Official Syllabus URL:	https://e.huawei.com/en/talent/cert/

Huawei H13-731_V3.0 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Huawei Big Data and Data Mining Platform	15%-20%	- Huawei Big Data Ecosystem 1. FusionInsight Components 2. Big Data Solution Architecture 3. ModelArts Basics
Topic 2: Data Preprocessing	15%-20%	- Data Preparation 1. Data Sampling 2. Data Cleaning 3. Data Transformation 4. Feature Engineering
Topic 3: Deep Learning and AI Technologies	20%-25%	- Model Training and Optimization 1. Model Evaluation 2. Overfitting and Regularization 3. Hyperparameter Tuning - Deep Learning Models 1. Recurrent Neural Networks 2. Convolutional Neural Networks 3. Neural Networks
Topic 4: Data Mining Fundamentals	10%-15%	- Data Mining Overview 1. Data Mining Concepts 2. CRISP-DM Methodology 3. Data Mining Application Scenarios
Topic 5: Machine Learning Algorithms	35%-40%	- Unsupervised Learning 1. K-Means Clustering 2. Association Rule Mining 3. Hierarchical Clustering - Supervised Learning 1. Decision Trees 2. Random Forest 3. Support Vector Machine 4. Logistic Regression 5. Linear Regression

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