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Huawei H13-324_V1.0 Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Professional - AI-Ascend Developer V1.0 |
| Exam Number: | H13-324_V1.0 |
| Exam Format: | Single-choice, Multiple-choice, True/False, Drag-and-drop, Fill-in-the-blank |
| Available Languages: | English, Chinese |
| Related Certifications: | HCIA-AI HCIP-AI-Model Developer HCIE-AI |
| Certificate Validity Period: | 3 years |
| Exam Price: | 300 USD |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Passing Score: | 600 / 1000 |
| Recommended Training: | HCIP-AI-Ascend Developer V1.0 Official Training Ascend Official Developer Documentation |
| Exam Registration: | Pearson VUE Registration Huawei Talent Official Site |
| Exam Way: | Online proctored or on-site at authorized Pearson VUE test centers |
| Pre Condition: | Recommended to hold HCIA-AI certification or have equivalent knowledge of AI fundamentals and Linux development |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification/exam/h13-324 |
Huawei H13-324_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Network Fundamentals | 25% | - Model training and optimization methods - Model compression and quantization basics - Basic deep learning theory - Common neural network structures |
| Topic 2: CANN-ATC Model Conversion | 12% | - Conversion from mainstream frameworks to Ascend OM model - Troubleshooting conversion errors - ATC tool functions and parameters - CANN platform overview |
| Topic 3: Ascend AI Processor | 8% | - Memory and storage system - Architecture and features of Ascend AI processor - Core components and computing units |
| Topic 4: Atlas AI Computing Solutions | 13% | - Atlas series hardware products - Application scenarios and deployment modes - System software and toolchain overview |
| Topic 5: CANN Inference Performance Tuning | 5% | - Performance analysis tools - Common tuning strategies - Memory and computing optimization |
| Topic 6: CANN Custom Operator Development | 7% | - Operator implementation and compilation - Operator verification and integration - Operator development specification |
| Topic 7: MindSpore Full-Process Development | 15% | - Model saving, exporting and deployment - Model building, training and validation - MindSpore framework architecture |
| Topic 8: CANN Inference Application Development | 15% | - AscendCL API and development flow - Multi-thread and multi-device inference - Data preprocessing and postprocessing |
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