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Huawei H13-311-ENU Q&A - in .pdf
- Exam Code: H13-311-ENU
- Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
- Updated: Aug 14, 2026
- Q & A: 175 Questions and Answers
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- Updated: Aug 14, 2026
- Q & A: 175 Questions and Answers
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Huawei H13-311-ENU Q&A - Testing Engine
- Exam Code: H13-311-ENU
- Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
- Updated: Aug 14, 2026
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- Outline of Huawei cloud EI
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- Passing score: 80%
- Length of Examination: 160 minutes
- Format: Multiple choices, multiple answers
- Number of Questions: 55
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Overview | 15% | - Typical industry applications and AI ethics - Definition, history and development trends of AI - Main technical branches: ML, DL, computer vision, NLP |
| Topic 2: Deep Learning Overview | 25% | - Neural network structure and backpropagation - Activation, loss functions, optimizers - CNN, RNN/LSTM, Transformer basics |
| Topic 3: Huawei AI Solutions & Applications | 5% | - Edge/cloud AI deployment scenarios - Ascend chips, Atlas hardware, CANN - Full-stack all-scenario AI strategy |
| Topic 4: Mathematics and Python Basics | 15% | - Linear algebra, probability, statistics, calculus fundamentals - Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib |
| Topic 5: Machine Learning Overview | 20% | - Model training, evaluation, overfitting, underfitting - Common algorithms: regression, decision tree, SVM, clustering - Supervised, unsupervised, reinforcement learning |
| Topic 6: AI Development Frameworks | 20% | - TensorFlow/PyTorch basics - MindSpore framework fundamentals and operations - Huawei Cloud ModelArts, Ascend AI ecosystem |
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