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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development layout - All-scenario AI solutions - Full-stack AI technology system |
| Topic 2: Image Processing Lab Guide | 12% | - Performance optimization and testing - Development environment setup - Image processing model development and deployment |
| Topic 3: Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing technology - Feature extraction and representation - Image classification, detection and segmentation - Typical application scenarios |
| Topic 4: Overview of ModelArts | 4% | - Core functions and service modules - Basic operation process - ModelArts positioning and architecture |
| Topic 5: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech signal processing foundation - Speech feature extraction - Speech recognition and synthesis - Application cases |
| Topic 6: Neural Network Basics | 4% | - Common neural network structures - Basic concepts of neural networks - Training and optimization methods |
| Topic 7: Natural Language Processing Lab Guide | 10% | - NLP model training and evaluation - End-to-end application development - Text preprocessing and feature engineering |
| Topic 8: Speech Processing Lab Guide | 12% | - Speech data processing practice - Application deployment and verification - Speech model building and tuning |
| Topic 9: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Language model and semantic understanding - Practical application - Text processing and representation - Machine translation, text generation and other technologies |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Question #1
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
A. TRUE
B. FALSE
Question #2
Which of the following ModelArts training parameters is used to customize hyperparameters?
A. Algorithm Type
B. Hyperparameter
C. Resource Pool
D. Compute Nodes
Question #3
In an image preprocessing experiment, the cv2.imread("lena.png", 1) function provided by OpenCV is used to read images. The parameter "1" in this function represents a --------- -channel image. (Fill in the blank with a number.)
Question #4
Which of the following statements about the functions of the encoder and decoder is true?
A. The decoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
B. The output lengths of the encoder and decoder are the same.
C. The encoder converts context vectors into variable-length output sequences.
D. The encoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
Question #5
If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?
A. Affine transformation
B. Perspective transformation
C. Rotational transformation
D. Grayscale transformation
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: B | Question #3 Correct Answer: Only visible for members | Question #4 Correct Answer: D | Question #5 Correct Answer: A,C |
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