Huawei HCIP-AI-EI Developer V2.0 : H13-321_V2.0

  • Exam Code: H13-321_V2.0
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Aug 23, 2026
  • Q&As: 574 Questions and Answers

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Huawei H13-321_V2.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Natural Language Processing (NLP)20%- NLP Lab Guide
- NLP Theory and Applications
Topic 2: Speech Processing22%- Speech Processing Theory and Applications
- Speech Processing Lab Guide
Topic 3: Computer Vision (Image Processing)26%- Image Processing Lab Guide
- Image Processing Theory and Applications
  • 1. Object detection basics
    • 2. Image classification concepts
      Topic 4: AI Fundamentals and Neural Networks4%- Neural Network Basics
      Topic 5: Huawei AI Ecosystem and ModelArts16%- ModelArts Platform Overview
      - Huawei AI Strategy and Ecosystem Overview
      - ModelArts Lab Guide

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

      1. Which of the following is correct about the difference between CNN applications in text and image tasks?

      A) CNN performs poorly on text classification tasks because the features it extracts are similar to the N-gram model, which is the local relationship between words.
      B) The input of color images is single-channel, and the input of text is multi-channel
      C) CNN performs poorly on named entity recognition tasks because the features it extracts are similar to the N-gram model, which is the local relationship between words.
      D) CNN is suitable for image-related tasks, but performs poorly on text tasks


      2. Machine translation refers to the use of deep learning models to translate English into Chinese characters.

      A) True
      B) False


      3. When doing character recognition on a scanned document, because the scanned document is not placed properly, the text is tilted at an angle, making it difficult to recognize. Which of the following technical means can be used to correct it? (Multiple choice)

      A) Affine transformation
      B) Grayscale transformation
      C) Perspective Transformation
      D) Rotation transformation


      4. The core problems of computer vision mainly include three categories: image recognition, () and image reconstruction.


      5. In Chinese, the part of speech of a word is often not fixed. Generally, words with the same pronunciation and form have completely different grammars in different scenarios, which brings great difficulties to part of speech tagging.

      A) True
      B) False


      Solutions:

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

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