Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Computer Vision (Image Processing) | 26% | - Image Processing Theory and Applications
|
| Topic 2: AI Fundamentals and Neural Networks | 4% | - Neural Network Basics |
| Topic 3: Huawei AI Ecosystem and ModelArts | 16% | - ModelArts Platform Overview - Huawei AI Strategy and Ecosystem Overview - ModelArts Lab Guide |
| Topic 4: Speech Processing | 22% | - Speech Processing Theory and Applications - Speech Processing Lab Guide |
| Topic 5: Natural Language Processing (NLP) | 20% | - NLP Theory and Applications - NLP Lab Guide |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following is the operation performed by the code mox.file.exists (' obs :// bucket_name /test01')?
A) Create a folder
B) List an OBS path
C) Check if the folder exists
D) Read a file on OBS
2. For a pixel P with coordinates (x, y), P has four diagonally adjacent pixels, called diagonal neighbors. Which of the following can correctly represent the coordinates of the diagonal neighbors?
A) (x-1, y), (x-1, y+1), (x+1, y), (x+1, y+1)
B) (x-1, y), (x-1, y+1), (x+1, y-1), (x+1, y)
C) (x-1, y-1), (x-1, y), (x+1, y-1), (x+1, y+1)
D) (x-1, y-1), (x-1, y+1), (x+1, y-1), (x+1, y+1)
3. The digital image acquisition process is similar to that of the human eye, using a large number of photosensitive sensors to form an array to acquire images.
The quality of sensor imaging is determined by which of the following? (Multiple choice)
A) Grayscale
B) Sensor performance
C) Sensor weight
D) Number of sensor units
4. In the process of model training and evaluation, overfitting and underfitting often occur. Which of the following descriptions of overfitting and underfitting is correct?
A) Overfitting refers to a situation where the model does not fit the training data sufficiently.
B) Underfitting refers to a situation where the model performs well both during training and prediction.
C) Overfitting is reflected in the evaluation indicators, that is, the model performs well on the training set, but performs poorly on the test set and new data.
D) Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.
5. Which of the following is not one of the three major problems of HMM?
A) Training
B) Testing
C) Decoding
D) Evaluation
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B,D | Question # 4 Answer: C | Question # 5 Answer: B |
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