• Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Certification Provider: Huawei
  • Corresponding Certification:HCIP AI EI
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H13-321_V2.0-ENU
  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 15, 2026
  • No. of Questions: 574 Questions and Answers
  • Download Limit: Unlimited

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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

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

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

N-gram and neural network language models differ in the way they calculate probability and train models.

  • A. True
  • B. False
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Which of the following descriptions about probability and likelihood is correct? (Multiple choice)

  • A. If the random variable X follows a certain distribution, the probability refers to the possibility that X=x under given parameters.
  • B. If the random variable X follows a certain distribution, the likelihood refers to the possibility that X=x under given parameters.
  • C. If the random variable X follows a certain distribution, the probability refers to the authenticity of a set of parameters under the condition that X=x.
  • D. If the random variable X follows a certain distribution, the likelihood refers to the authenticity of a set of parameters under the condition that X=x.
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

What problems of mean filtering can Gaussian filtering overcome?

  • A. Denoising (the main function of Gaussian filtering is noise reduction)
  • B. Slow calculation (the calculation principle is the same, so the calculation speed depends on the data size)
  • C. Large amount of calculation (same as C)
  • D. Fuzzification
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

() in CANN combines the operator fusion of the internal storage architecture of the Ascend chip to reduce operator calling overhead and memory movement, and improve performance.

Reveal Solution  Discussion  0

Correct Answer:

Fusion engine

Markov chain refers to a discrete event random process with Markov properties in mathematics.

  • A. True
  • B. False
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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