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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HiLens Platform Development | 20% | - Skill Development Framework - Edge Deployment Strategy - Multi-modal Data Processing - Real-time Inference Optimization |
| Topic 2: Natural Language Processing Application | 15% | - Text Preprocessing and Embedding - Named Entity Recognition - Language Model Fine-tuning - Text Classification Models |
| Topic 3: ModelArts Pro Development | 20% | - Model Deployment and Management - AutoML and Automatic Model Training - Hyperparameter Optimization - Inference Service Configuration |
| Topic 4: Deep Learning Fundamentals | 15% | - Training and Fine-tuning - Neural Network Basics - Optimization Algorithms - CNN and RNN Architectures |
| Topic 5: Image Recognition Application Development | 15% | - Image Classification Models - Object Detection Implementation - Transfer Learning with Pre-trained Models - Image Segmentation |
| Topic 6: EI Model Development Fundamentals | 15% | - Development Environment Setup - Model Development Process - HiLens Framework and Skills - EI Service and Architecture |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Overfitting is a condition where a model is overly simple and excessive generalization errors occur.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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. 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.
- 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. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
- E. 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.
Correct Answer: A,D,E 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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.)
Reveal Solution Discussion 0Correct Answer:
3
Explanation:
In OpenCV:
* cv2.imread(filename, 1) reads the image incolor mode.
* This loads the image as a3-channelBGR image (Blue, Green, Red).
* Other modes: 0 for grayscale, -1 for unchanged (including alpha channel).
Exact Extract from HCIP-AI EI Developer V2.5:
"When the second parameter of cv2.imread is 1, the image is read in color mode, resulting in a 3-channel BGR image." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Image Reading and Writing with OpenCV
If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
In natural language processing tasks, word vector evaluation is an important aspect for measuring the performance of a word embedding model. Which of the following statements about word vector evaluation are true?
- A. Extrinsic evaluation is the main method used for evaluating word vectors because it directly reflects the performance of word vectors in real-world application tasks.
- B. The word analogy task evaluates the capability of word vectors in capturing semantic relationships between words, for example, by determining whether "king - man + woman = ?" is close to "queen".
- C. Word similarity tasks typically employ manually labeled datasets to evaluate word vectors, compute the cosine similarity between word vectors, and compare it with the manual labeling result.
- D. Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
Correct Answer: B,C,D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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