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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Image Processing Lab Guide | 12% | - Development environment setup - Image processing model development and deployment - Performance optimization and testing |
| Topic 2: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech feature extraction - Speech recognition and synthesis - Application cases - Speech signal processing foundation |
| Topic 3: Speech Processing Lab Guide | 12% | - Speech model building and tuning - Speech data processing practice - Application deployment and verification |
| Topic 4: Natural Language Processing Lab Guide | 10% | - End-to-end application development - NLP model training and evaluation - Text preprocessing and feature engineering |
| Topic 5: Overview of ModelArts | 4% | - ModelArts positioning and architecture - Basic operation process - Core functions and service modules |
| Topic 6: Neural Network Basics | 4% | - Basic concepts of neural networks - Common neural network structures - Training and optimization methods |
| Topic 7: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Language model and semantic understanding - Text processing and representation - Machine translation, text generation and other technologies - Practical application |
| Topic 8: Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing technology - Typical application scenarios - Image classification, detection and segmentation - Feature extraction and representation |
| Topic 9: Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack AI technology system - All-scenario AI solutions - Huawei AI development layout |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Question 1
------- is a model that uses a convolutional neural network (CNN) to classify texts.
Question 2
Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?
A. It can handle small datasets with minimal labeling required.
B. It can process high-resolution images to enhance classification accuracy.
C. The self-attention mechanism is used to capture global features of images, improving classification accuracy.
D. It achieves fast convergence without using pre-trained models.
Question 3
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 concatenated output is fed directly into the multi-headed attention mechanism.
C. The multi-head attention mechanism captures information about different subspaces within a sequence.
D. Each header's query, key, and value undergo a shared linear transformation to obtain them.
Question 4
Which of the following statements about the levels of natural language understanding are true?
A. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
B. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
C. Pragmatic analysis is to study the influence of the language's external environment on the language users.
D. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
E. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
Question 5
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. Speech recognition
B. Object detection
C. Video analytics
D. Image classification
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: C | Question 3 Answer: A,C | Question 4 Answer: B,C,D | Question 5 Answer: A,B,C,D |
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