Exam Name: HCIP-AI-EI Developer V2.5
Certification Provider: Huawei
Corresponding Certification: HCIP-AI EI Developer
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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| HiLens Platform Development | 20% | - Edge Deployment Strategy - Multi-modal Data Processing - Real-time Inference Optimization - Skill Development Framework |
| Image Recognition Application Development | 15% | - Image Segmentation - Transfer Learning with Pre-trained Models - Image Classification Models - Object Detection Implementation |
| EI Model Development Fundamentals | 15% | - HiLens Framework and Skills - EI Service and Architecture - Model Development Process - Development Environment Setup |
| ModelArts Pro Development | 20% | - AutoML and Automatic Model Training - Model Deployment and Management - Inference Service Configuration - Hyperparameter Optimization |
| Deep Learning Fundamentals | 15% | - Neural Network Basics - Optimization Algorithms - Training and Fine-tuning - CNN and RNN Architectures |
| Natural Language Processing Application | 15% | - Text Classification Models - Text Preprocessing and Embedding - Named Entity Recognition - Language Model Fine-tuning |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
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
Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?
- A. For CNN, there is no difference in handling text or image tasks.
- B. Color image input is multi-channel, whereas text input is single-channel.
- C. CNNs are suitable for image tasks, but they perform poorly in text tasks.
- D. When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
Correct Answer: B,D 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
The mAP evaluation metric in object detection combines accuracy and recall.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
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Overfitting is a condition where a model is overly simple and excessive generalization errors occur.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
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Which of the following statements about the standard normal distribution are true?
- A. The variance is 0.
- B. The variance is 1.
- C. The mean is 0.
- D. The mean is 1.
Correct Answer: B,C 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
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