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The Huawei H13-231-ENU exam is divided into several sections, each of which focuses on a specific area of intelligent computing. These sections include network architecture and design, cloud computing and virtualization, machine learning and data mining, and artificial intelligence and deep learning. Candidates must demonstrate their proficiency in each of these areas in order to pass the exam and earn their certification.

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The Huawei H13-231-ENU exam consists of multiple-choice questions, essay questions, and hands-on lab exercises that test your ability to design, implement, and manage intelligent computing systems. Successful completion of the exam demonstrates that you have the skills and knowledge required to design and implement complex intelligent computing systems that can help organizations improve their business operations and gain a competitive edge.

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Huawei H13-231-ENU Exam Syllabus Topics:

Section	Weight	Objectives
Kunpeng Computing Architecture	15%	- Kunpeng Processor and Platform 1. Kunpeng CPU Architecture 2. Server Hardware Architecture 3. Performance Optimization
Operations, Maintenance and Troubleshooting	5%	- O&M and Fault Handling 1. Monitoring and Management 2. Fault Diagnosis and Troubleshooting 3. Performance Analysis
AI Development Frameworks	10%	- AI Software Ecosystem 1. AI Development Toolchains 2. MindSpore Framework 3. Model Training and Inference
Intelligent Computing Industry and Architecture	10%	- Industry Development and Trends 1. Computing Industry Evolution 2. Intelligent Computing Ecosystem 3. Industry Standards and Architecture
Ascend AI Computing Architecture	15%	- Ascend AI Platform 1. Ascend Processor Architecture 2. AI Acceleration Technologies 3. Heterogeneous Computing
Cloud Native and Container Technologies	10%	- Cloud Native Platforms 1. Microservices 2. Application Modernization 3. Containers and Kubernetes
Intelligent Computing Solution Design	15%	- Solution Planning and Design 1. Infrastructure Design 2. High Availability and Disaster Recovery 3. Capacity Planning
openEuler Operating System	10%	- Operating System Technologies 1. Security and Reliability 2. System Management 3. Kernel Architecture
GaussDB and Data Technologies	10%	- Database Technologies 1. Database Deployment 2. Performance and High Availability 3. GaussDB Architecture