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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Computer Vision (Image Processing) | 26% | - Image Processing Lab Guide - Image Processing Theory and Applications
|
| Topic 2: Huawei AI Ecosystem and ModelArts | 16% | - ModelArts Platform Overview - ModelArts Lab Guide - Huawei AI Strategy and Ecosystem Overview |
| Topic 3: AI Fundamentals and Neural Networks | 4% | - Neural Network Basics |
| Topic 4: Natural Language Processing (NLP) | 20% | - NLP Theory and Applications - NLP Lab Guide |
| Topic 5: Speech Processing | 22% | - Speech Processing Lab Guide - Speech Processing Theory and Applications |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Language model can be used to dynamically generate word vectors for each word.
- A. False
- B. True
Correct Answer: B 🗳️
What are the classifications of machine learning methods? (Multiple choice)
- A. Self-supervised learning
- B. Reinforcement Learning
- C. Unsupervised Learning
- D. Supervised Learning
- E. Semi-supervised learning
Correct Answer: A,B,C,D,E 🗳️
word2vec uses cosine value to calculate similarity, and the distance range is between 0-1. The larger the value, the higher the correlation between the two words.
- A. False
- B. True
Correct Answer: A 🗳️
For a 32-level grayscale image, how many levels can be distinguished from the darkest to the brightest at each sampling point?
- A. 64
- B. 256
- C. 128
- D. 32
Correct Answer: D 🗳️
Image recognition tasks can be divided into three levels, from low to high according to the abstractness of the processing content?
- A. Image analysis, image processing, image understanding
- B. Image analysis, image understanding, image processing
- C. Image processing, image analysis, image understanding
- D. Image understanding, image analysis, image processing
Correct Answer: C 🗳️
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