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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HiLens Platform Development | 20% | - Real-time Inference Optimization - Edge Deployment Strategy - Skill Development Framework - Multi-modal Data Processing |
| Topic 2: Deep Learning Fundamentals | 15% | - Optimization Algorithms - CNN and RNN Architectures - Training and Fine-tuning - Neural Network Basics |
| Topic 3: Natural Language Processing Application | 15% | - Language Model Fine-tuning - Text Preprocessing and Embedding - Text Classification Models - Named Entity Recognition |
| Topic 4: ModelArts Pro Development | 20% | - Inference Service Configuration - AutoML and Automatic Model Training - Model Deployment and Management - Hyperparameter Optimization |
| Topic 5: Image Recognition Application Development | 15% | - Image Segmentation - Image Classification Models - Transfer Learning with Pre-trained Models - Object Detection Implementation |
| Topic 6: EI Model Development Fundamentals | 15% | - HiLens Framework and Skills - Model Development Process - EI Service and Architecture - Development Environment Setup |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)
2. 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) TRUE
B) FALSE
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.
4. 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.)
5. Which of the following is not an algorithm for training word vectors?
A) FastText
B) Word2Vec
C) BERT
D) TextCNN
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: A,C | Question # 4 Answer: Only visible for members | Question # 5 Answer: D |
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