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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Data processing, training, deployment capabilities - Development environment and tool usage |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Acoustic and language modeling - Speech signal characteristics and processing - Text-to-Speech (TTS) technology |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Image Processing Lab Guide | 12% | - Object detection and segmentation practice - Ascend-based deployment - ModelArts-based image classification |
| Neural Network Basics | 4% | - Activation functions and regularization - Gradient descent and backpropagation - Basic concepts of neural networks - Multilayer Perceptron (MLP) |
| Speech Processing Lab Guide | 12% | - Huawei Cloud Speech Interaction Service - ASR and TTS service development - ModelArts speech application deployment |
| Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - Word representation and embedding - BERT, GPT and pre-trained models |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - OCR and visual application development - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. What are the preset models supported by ModelArts? (Multiple choice)
A) Image Detection
B) Image Classification
C) Image Segmentation
D) Gene sequencing
2. Which of the following options does not belong to the gate of the LSTM cell?
A) Memory Gate
B) Output Gate
C) Input Gate
D) Forget Gate
3. Probability refers to the authenticity of a set of parameters given a result.
A) False
B) True
4. The chain rule ensures the error transmission from deep to shallow layers.
A) False
B) True
5. In ModelArts, the () job service provides the function of viewing training job logs.
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: Only visible for members |
