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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Image Processing Lab Guide | 12% | - ModelArts-based image classification - Object detection and segmentation practice - Ascend-based deployment |
| Natural Language Processing Theory and Applications | 10% | - Word representation and embedding - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - BERT, GPT and pre-trained models |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Basic concepts of neural networks - Multilayer Perceptron (MLP) - Activation functions and regularization |
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Data processing, training, deployment capabilities - Development environment and tool usage |
| Image Processing Theory and Applications | 26% | - Convolutional Neural Networks (CNN) - OCR and visual application development - Image classification, object detection, segmentation - Image processing fundamentals |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Acoustic and language modeling - Speech signal characteristics and processing |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Reversing the order of the RGB channels of a color image will change the brightness and color of the image.
A) True
B) False
2. What are the preset image classification models supported by ModelArts? (Multiple choice)
A) ResNet_v1_50
B) Faster_RCNN_ResNet_v1_50
C) Inception_v3
D) Faster_RCNN_ResNet_Y2_50O
3. In TensorFlow2.0, the Adam optimizer is a built-in optimizer of the keras module.
A) True
B) False
4. What operation does "isinstance" represent in TensorFlow2.0?
A) Determine whether it is a Tensor
B) View device information
C) Determine whether it is numpy
D) Merge tensors
5. The goal of artificial intelligence is to make computers as smart as humans.
A) True
B) False
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,C | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |
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Jacob 
Ina 
Kyle 
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Zoe 
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Tina 
Webb 
Marlon 
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Salome 
Astrid 
