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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Natural Language Processing Theory and Applications | 10% | - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture - Word representation and embedding - BERT, GPT and pre-trained models |
| Topic 2: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 3: Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Topic 4: Image Processing Theory and Applications | 26% | - OCR and visual application development - Image classification, object detection, segmentation - Image processing fundamentals - Convolutional Neural Networks (CNN) |
| Topic 5: Speech Processing Lab Guide | 12% | - ASR and TTS service development - Huawei Cloud Speech Interaction Service - ModelArts speech application deployment |
| Topic 6: Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture - Development environment and tool usage |
| Topic 7: Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Acoustic and language modeling - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) |
| Topic 8: Neural Network Basics | 4% | - Gradient descent and backpropagation - Multilayer Perceptron (MLP) - Activation functions and regularization - Basic concepts of neural networks |
| Topic 9: Natural Language Processing Lab Guide | 10% | - Application integration and deployment - ModelArts NLP model training and tuning - Text classification and NER implementation |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
What types of annotation tasks can be performed in data annotation in ModelArts data management? (Multiple choice)
A. Predictive Analytics
B. Gene sequencing
C. Object Detection
D. Image Classification
Question 2
How can the entire digital image after sampling and quantization be represented mathematically?
A. Pixels
B. Coordinates
C. Matrix
D. Channel
Question 3
ModelArts is a one-stop AI development platform built around the AI development process. Users can customize and develop AI models based on ModelArts . ModelArts ' capabilities cover all aspects of AI development.
A. True
B. False
Question 4
The denoising effect of mean filtering is better than that of Gaussian filtering for the same size.
A. True
B. False
Question 5
Which activation function is used by the forget gate in LSTM?
A. Sigmoid
B. Tanh
C. ReLu
D. Softmax
Solutions:
| Question 1 Answer: A,C,D | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: A |
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