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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| HiLens Platform Development | 20% | - Multi-modal Data Processing - Skill Development Framework - Real-time Inference Optimization - Edge Deployment Strategy |
| ModelArts Pro Development | 20% | - Inference Service Configuration - AutoML and Automatic Model Training - Model Deployment and Management - Hyperparameter Optimization |
| Natural Language Processing Application | 15% | - Text Classification Models - Language Model Fine-tuning - Text Preprocessing and Embedding - Named Entity Recognition |
| Image Recognition Application Development | 15% | - Object Detection Implementation - Image Segmentation - Image Classification Models - Transfer Learning with Pre-trained Models |
| Deep Learning Fundamentals | 15% | - Optimization Algorithms - Neural Network Basics - Training and Fine-tuning - CNN and RNN Architectures |
| EI Model Development Fundamentals | 15% | - EI Service and Architecture - HiLens Framework and Skills - Development Environment Setup - Model Development Process |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Question 1
The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?
A. Compute the weighted sum of the value vectors using the attention weights.
B. Apply a non-linear mapping to the result obtained after the weighted summation.
C. Calculate the dot product similarity between the query and key vectors to obtain attention scores.
D. Normalize the attention scores to obtain attention weights.
Question 2
Which of the following is a learning algorithm used for Markov chains?
A. Viterbi algorithm
B. Exhaustive search
C. Forward-backward algorithm
D. Baum-Welch algorithm
Question 3
Which of the following statements about the standard normal distribution are true?
A. The variance is 1.
B. The mean is 0.
C. The variance is 0.
D. The mean is 1.
Question 4
How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?
A. 9
B. 28
C. 55
D. 10
Question 5
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
A. FALSE
B. TRUE
Solutions:
| Question 1 Answer: A,C,D | Question 2 Answer: D | Question 3 Answer: A,B | Question 4 Answer: B | Question 5 Answer: B |
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