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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: EI Model Development Fundamentals | 15% | - Development Environment Setup - HiLens Framework and Skills - Model Development Process - EI Service and Architecture |
| Topic 2: Image Recognition Application Development | 15% | - Transfer Learning with Pre-trained Models - Object Detection Implementation - Image Classification Models - Image Segmentation |
| Topic 3: Natural Language Processing Application | 15% | - Text Classification Models - Text Preprocessing and Embedding - Named Entity Recognition - Language Model Fine-tuning |
| Topic 4: HiLens Platform Development | 20% | - Multi-modal Data Processing - Skill Development Framework - Edge Deployment Strategy - Real-time Inference Optimization |
| Topic 5: Deep Learning Fundamentals | 15% | - Optimization Algorithms - CNN and RNN Architectures - Neural Network Basics - Training and Fine-tuning |
| Topic 6: ModelArts Pro Development | 20% | - AutoML and Automatic Model Training - Hyperparameter Optimization - Inference Service Configuration - Model Deployment and Management |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).
In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)
Reveal Solution Discussion 0Correct Answer:
Decoder
Explanation:
The Transformer model architecture includes:
* Encoder:Encodes the input sequence into contextualized representations.
* Decoder:Uses the encoder output and self-attention over previously generated tokens to produce the target sequence.
Exact Extract from HCIP-AI EI Developer V2.5:
"The Transformer consists of an encoder-decoder structure, with self-attention mechanisms in both components for sequence-to-sequence learning." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Transformer Overview
A text classification task has only one final output, while a sequence labeling task has an output in each input position.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).
Which of the following statements about the levels of natural language understanding are true?
- A. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
- 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. Pragmatic analysis is to study the influence of the language's external environment on the language users.
- 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.
Correct Answer: A,B,D 🗳️
Explanation: Only visible for TorrentExam 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. TRUE
- B. FALSE
Correct Answer: A 🗳️
Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).
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