Exam Name: HCIP-AI-Ascend Developer V2.0
Certification Provider: Huawei
Corresponding Certification: Huawei-certification
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Instant Download H13-324_V2.0 Exam Dumps : HCIP-AI-Ascend Developer V2.0
Updated: Sep 02, 2026
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Huawei H13-324_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MindSpore Full-Process Development | 20% | - Model saving, loading and deployment - Network construction, training and inference - MindSpore framework features and installation - Automatic differentiation and parallel computing |
| Topic 2: Neural Network Basics | 25% | - Basic principles of deep learning - Model training, optimization and evaluation - Mathematical foundation for AI development - Common neural network structures and algorithms |
| Topic 3: Ascend AI Processor | 8% | - Architecture and features of Ascend AI processor - Hardware specifications and computing resources - Memory management and data flow |
| Topic 4: CANN - Custom Operator Development | 8% | - Operator performance analysis and tuning - Operator development framework and specifications - Development, compilation and deployment of custom operators |
| Topic 5: Comprehensive Experiment and Application Practice | 5% | - Deployment and testing of actual projects - Problem analysis and solution design - End-to-end AI application development based on Ascend |
| Topic 6: CANN - ATC Model Conversion | 8% | - Model optimization and accuracy comparison - ATC tool usage and parameter configuration - CANN architecture and functions - Conversion from mainstream frameworks to Ascend OM model |
| Topic 7: CANN - Inference Application Performance Tuning | 5% | - Data transmission and computing efficiency improvement - Performance indicators and analysis methods - System configuration and resource optimization |
| Topic 8: CANN - Inference Application Development Process | 8% | - Application development workflow - Inference engine and API introduction - Data preprocessing and postprocessing - Multi-thread and batch processing design |
| Topic 9: Atlas AI Computing Solution | 13% | - System composition and deployment modes - Software stack and development environment - Atlas hardware product series and application scenarios |
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