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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - Language model and semantic understanding - Practical application - Machine translation, text generation and other technologies |
| Topic 2: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech signal processing foundation - Application cases - Speech feature extraction - Speech recognition and synthesis |
| Topic 3: Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development layout - Full-stack AI technology system - All-scenario AI solutions |
| Topic 4: Natural Language Processing Lab Guide | 10% | - Text preprocessing and feature engineering - NLP model training and evaluation - End-to-end application development |
| Topic 5: Image Processing Lab Guide | 12% | - Development environment setup - Image processing model development and deployment - Performance optimization and testing |
| Topic 6: Neural Network Basics | 4% | - Basic concepts of neural networks - Training and optimization methods - Common neural network structures |
| Topic 7: Overview of ModelArts | 4% | - ModelArts positioning and architecture - Basic operation process - Core functions and service modules |
| Topic 8: Theoretical Knowledge and Applications of Image Processing | 26% | - Typical application scenarios - Feature extraction and representation - Image preprocessing technology - Image classification, detection and segmentation |
| Topic 9: Speech Processing Lab Guide | 12% | - Speech model building and tuning - Application deployment and verification - Speech data processing practice |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?
- A. SeLU
- B. Tanh
- C. Sigmoid
- D. ReLU
Correct Answer: C 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
When the chi-square test is used for feature selection, SelectKBest and _____ function or class must be imported from the sklearn.feature_selection module. (Enter the function interface name.) chi2 Explanation:
In feature selection for classification tasks, thechi-square (#²)statistical test can be applied to evaluate the independence between features and target labels.
In Python's scikit-learn library, this is implemented using:
Correct Answer:
python
CopyEdit
from sklearn.feature_selection import SelectKBest, chi2
SelectKBest selects the top K features based on scores returned by the chi2 function.
Exact Extract from HCIP-AI EI Developer V2.5:
"In scikit-learn, SelectKBest with chi2 can be used for feature selection by scoring features according to the chi-square statistic." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Feature Selection Methods
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. Perspective transformation
- B. Grayscale transformation
- C. Affine transformation
- D. Rotational transformation
Correct Answer: C,D 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
The mAP evaluation metric in object detection combines accuracy and recall.
- A. FALSE
- B. TRUE
Correct Answer: A 🗳️
Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).
