Huawei H13-321_V2.5 : HCIP-AI-EI Developer V2.5

H13-321_V2.5 real exams

Exam Code: H13-321_V2.5

Exam Name: HCIP-AI-EI Developer V2.5

Updated: Aug 23, 2026

Q & A: 62 Questions and Answers

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Huawei H13-321_V2.5 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deep Learning Fundamentals15%- Training and Fine-tuning
- Optimization Algorithms
- CNN and RNN Architectures
- Neural Network Basics
Topic 2: ModelArts Pro Development20%- AutoML and Automatic Model Training
- Model Deployment and Management
- Inference Service Configuration
- Hyperparameter Optimization
Topic 3: Image Recognition Application Development15%- Object Detection Implementation
- Image Segmentation
- Transfer Learning with Pre-trained Models
- Image Classification Models
Topic 4: HiLens Platform Development20%- Multi-modal Data Processing
- Skill Development Framework
- Real-time Inference Optimization
- Edge Deployment Strategy
Topic 5: Natural Language Processing Application15%- Text Classification Models
- Text Preprocessing and Embedding
- Named Entity Recognition
- Language Model Fine-tuning
Topic 6: EI Model Development Fundamentals15%- EI Service and Architecture
- Model Development Process
- HiLens Framework and Skills
- Development Environment Setup

Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

1. When the chi-square test is used for feature selection, SelectKBest and _____ function or class must be imported from the sklearn.feature_selection module. (Enter the function interface name.) chi2 Explanation:
In feature selection for classification tasks, thechi-square (#²)statistical test can be applied to evaluate the independence between features and target labels.
In Python's scikit-learn library, this is implemented using:


2. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

A) Tanh
B) Sigmoid
C) SeLU
D) ReLU


3. The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.

A) FALSE
B) TRUE


4. In an HSV color space, H is for hue, S is for saturation, and V is for value. Which of the following statements about the HSV color space are true?

A) Hue indicates the basic color attributes, such as red, green, and blue.
B) Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
C) The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.
D) Saturation describes how vivid the color is. The lower the saturation, the closer the color is to gray. The higher the saturation, the more vivid the color.


5. The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.

A) FALSE
B) TRUE


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: A,B,D
Question # 5
Answer: B

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