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

H13-321_V2.5 actual test
  • Exam Code: H13-321_V2.5
  • Exam Name: HCIP-AI-EI Developer V2.5
  • Updated: Oct 03, 2026
  • Q & A: 62 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Huawei H13-321_V2.5 Exam Actual Tests

Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

Question #1

What type of task is viewed when using the Seq2Seq model in speech recognition?

  • A. Classification task
  • B. Regression task
  • C. Dimensionality reduction task
  • D. Clustering task
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

Which of the following is not an algorithm for training word vectors?

  • A. BERT
  • B. TextCNN
  • C. FastText
  • D. Word2Vec
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Which of the following are the impacts of the development of large models?

  • A. The accuracy and efficiency of natural language processing tasks will improve
  • B. Data privacy and security issues will be exacerbated
  • C. Large models will completely replace small and domain-specific models
  • D. Model pre-training costs will be reduced
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

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Question #4

In the image recognition algorithm, the structure design of the convolutional layer has a great impact on its performance. Which of the following statements are true about the structure and mechanism of the convolutional layer? (Transposed convolution is not considered.)

  • A. The convolutional layer uses parameter sharing so that features at different positions share the same group of parameters. This reduces the number of network parameters required but reduces the expression capabilities of models.
  • B. In the convolutional layer, each neuron only collects some information. This effectively reduces the memory required.
  • C. The convolutional layer slides over the input feature map using a convolution kernel of a fixed size to extract local features without explicitly defining their features.
  • D. A stride in the convolutional layer can control the spatial resolution of the output feature map. A larger stride indicates a smaller output feature map and simpler calculation.
Reveal Solution  Discussion  0

Correct Answer: A,B,C,D  🗳️

Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).

Question #5

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

  • A. SeLU
  • B. ReLU
  • C. Sigmoid
  • D. Tanh
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).

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