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Huawei H13-321_V2.0 Exam Syllabus Topics:

SectionObjectives
Topic 1: Image Processing Theory and Applications- Computer Vision Fundamentals
  • 1. Image Recognition Applications
  • 2. Object Detection
  • 3. Image Classification
Topic 2: ModelArts Platform Overview- AI Development Platform
  • 1. AI Workflow Management
  • 2. Model Training
  • 3. Model Deployment
Topic 3: Natural Language Processing Labs- Practical Development
  • 1. Text Analysis Experiments
  • 2. NLP Model Applications
Topic 4: Natural Language Processing Theory and Applications- NLP Fundamentals
  • 1. NLP Application Development
  • 2. Text Processing
  • 3. Language Understanding
Topic 5: Image Processing Labs- Practical Development
  • 1. Computer Vision Implementation
  • 2. Image Processing Experiments
Topic 6: Speech Processing Theory and Applications- Speech AI Technologies
  • 1. Speech Processing Scenarios
  • 2. Speech Synthesis
  • 3. Speech Recognition
Topic 7: Neural Network Basics- Neural Network Fundamentals
  • 1. Common Neural Network Models
  • 2. Deep Learning Basics
  • 3. Artificial Neural Networks
Topic 8: Speech Processing Labs- Practical Development
  • 1. Speech Recognition Experiments
  • 2. Speech AI Applications
Topic 9: Huawei AI Development Strategy and AI Portfolio- Huawei AI Ecosystem
  • 1. Huawei Cloud EI Services
  • 2. All-Scenario AI Architecture
  • 3. Full-Stack AI Strategy

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

Question 1

Which algorithm engines does ModelArts training job support? (Multiple choice)

A. MXNet
B. XGBoost
C. TensorFlow
D. PyTorch


Question 2

Among the functions provided by ModelArts, which of the following services does online service belong to?

A. Model training
B. Data processing
C. Model Management
D. Deployment


Question 3

What are the methods for text vectorization? (Multiple choice)

A. vec2vec
B. str2vec
C. Doc2vec
D. word2vec


Question 4

When calling the face comparison service, the person's gender is also one of the return values.

A. False
B. True


Question 5

What is the main function of the fully connected layer?

A. Extracting features (convolutional layer)
B. Classification
C. Change image size (image scaling, downsampling, upsampling)
D. Dimensionality reduction (pooling layer)


Solutions:

Question 1
Answer: B,C,D
Question 2
Answer: D
Question 3
Answer: B,C,D
Question 4
Answer: A
Question 5
Answer: B

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