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Last Updated: Oct 08, 2026
No. of Questions: 62 Questions & Answers with Testing Engine
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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Theoretical Knowledge and Applications of Image Processing | 26% | - Feature extraction and representation - Image preprocessing technology - Image classification, detection and segmentation - Typical application scenarios |
| Topic 2: 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 3: Natural Language Processing Lab Guide | 10% | - NLP model training and evaluation - End-to-end application development - Text preprocessing and feature engineering |
| Topic 4: Image Processing Lab Guide | 12% | - Development environment setup - Performance optimization and testing - Image processing model development and deployment |
| Topic 5: Speech Processing Lab Guide | 12% | - Application deployment and verification - Speech data processing practice - Speech model building and tuning |
| Topic 6: Overview of ModelArts | 4% | - ModelArts positioning and architecture - Basic operation process - Core functions and service modules |
| Topic 7: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Machine translation, text generation and other technologies - Practical application - Language model and semantic understanding - Text processing and representation |
| Topic 8: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Application cases - Speech signal processing foundation - Speech feature extraction |
| Topic 9: Neural Network Basics | 4% | - Common neural network structures - Basic concepts of neural networks - Training and optimization methods |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Huawei Cloud ModelArts is a one-stop AI development platform that supports multiple AI scenarios. Which of the following scenarios are supported by ModelArts?
- A. Object detection
- B. Image classification
- C. Speech recognition
- D. Video analytics
Correct Answer: A,B,C,D 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?
- A. WAV
- B. MP3
- C. AAC
- D. PCM
Correct Answer: A,B,D 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
Which of the following statements about the multi-head attention mechanism of the Transformer are true?
- A. The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.
- B. The multi-head attention mechanism captures information about different subspaces within a sequence.
- C. The concatenated output is fed directly into the multi-headed attention mechanism.
- D. Each header's query, key, and value undergo a shared linear transformation to obtain them.
Correct Answer: A,B 🗳️
The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.
- A. FALSE
- B. TRUE
Correct Answer: A 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
In the deep neural network (DNN)-hidden Markov model (HMM), the DNN is mainly used for feature processing, while the HMM is mainly used for sequence modeling.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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