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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Lab Guide | 12% | - ASR and TTS service development - Huawei Cloud Speech Interaction Service - ModelArts speech application deployment |
| Topic 2: Image Processing Lab Guide | 12% | - Ascend-based deployment - Object detection and segmentation practice - ModelArts-based image classification |
| Topic 3: Overview of ModelArts | 4% | - Development environment and tool usage - ModelArts platform positioning and architecture - Data processing, training, deployment capabilities |
| Topic 4: Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Multilayer Perceptron (MLP) - Basic concepts of neural networks |
| Topic 5: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 6: Speech Processing Theory and Applications | 10% | - Acoustic and language modeling - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing |
| Topic 7: Natural Language Processing Theory and Applications | 10% | - BERT, GPT and pre-trained models - Word representation and embedding - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture |
| Topic 8: Image Processing Theory and Applications | 26% | - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation - OCR and visual application development - Image processing fundamentals |
| Topic 9: Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Speech recognition technology is a technology that allows machines to convert text into speech through recognition and understanding.
A) True
B) False
2. The single-layer perceptron is a nonlinear model, so it can solve nonlinear data problems such as XOR.
A) True
B) False
3. Huawei Cloud's cloud monitoring service can monitor the relevant indicators of image recognition. Users can use the indicators to timely understand the usage of image recognition. Each sub-service has two indicators: the number of successful calls and the number of failed calls.
A) True
B) False
4. Huawei Cloud EI provides a RESTful API. Which of the following options is a method for requesting the server to return a specified resource?
A) GET
B) PUT
C) POST
D) Attach
5. In order to solve the gradient disappearance problem, GRU uses () operation at the hidden layer output, t-1 state and t hidden layer state
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: Only visible for members |
Cynthia 
Cornell 
Tyler 
Ophelia 
Roderick 
Freda 
Xaviera 
Marcus 
King 
Larry 
Nigel 
Hogan 
Cash 
Florence 
Elliot 
Jack 
