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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deep Learning Fundamentals | 15% | - CNN and RNN Architectures - Optimization Algorithms - Neural Network Basics - Training and Fine-tuning |
| Image Recognition Application Development | 15% | - Image Classification Models - Object Detection Implementation - Image Segmentation - Transfer Learning with Pre-trained Models |
| HiLens Platform Development | 20% | - Skill Development Framework - Real-time Inference Optimization - Multi-modal Data Processing - Edge Deployment Strategy |
| EI Model Development Fundamentals | 15% | - Development Environment Setup - EI Service and Architecture - HiLens Framework and Skills - Model Development Process |
| Natural Language Processing Application | 15% | - Language Model Fine-tuning - Named Entity Recognition - Text Preprocessing and Embedding - Text Classification Models |
| ModelArts Pro Development | 20% | - Inference Service Configuration - AutoML and Automatic Model Training - Model Deployment and Management - Hyperparameter Optimization |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. Which of the following statements about the levels of natural language understanding are true?
A) Pragmatic analysis is to study the influence of the language's external environment on the language users.
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) 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.
D) 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.
E) Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
2. What type of task is viewed when using the Seq2Seq model in speech recognition?
A) Regression task
B) Dimensionality reduction task
C) Classification task
D) Clustering task
3. Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.
A) FALSE
B) TRUE
4. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?
A) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
B) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
C) Gamma correction applies only to grayscale images and does not apply to color images.
D) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
5. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
A) FALSE
B) TRUE
Solutions:
| Question # 1 Answer: A,B,E | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A,B,D | Question # 5 Answer: B |
Vito 
Bancroft 
Christian 
Vito 
Yehudi 
Antonia 
Goddard 
Lou 
Buck 
Katherine 
Osmond 
Blair 
Sherry 
