Huawei : H13-321_V2.0-ENU Questions & Answers

Last Updated: Aug 05, 2026

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

SectionWeightObjectives
Theoretical Knowledge and Applications of Natural Language Processing10%- Text processing and representation
- Common NLP tasks and applications
- NLP core concepts
Overview of ModelArts4%- ModelArts platform architecture
- Development and deployment workflow
Neural Network Basics4%- Network training and optimization
- Deep learning fundamentals
- Artificial neural network principles
Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio2%
ModelArts Platform Development Experiment10%
Speech Processing Lab Guide12%- Speech application development on ModelArts
Theoretical Knowledge and Applications of Image Processing26%- Image recognition, detection and segmentation
- Computer vision overview
- Convolutional neural networks
- Image preprocessing and feature extraction
Natural Language Processing Lab Guide10%- NLP project practice on ModelArts
Image Processing Lab Guide12%- ModelArts-based image development
Theoretical Knowledge and Applications of Speech Processing10%- Speech recognition and synthesis
- Acoustic and language models
- Speech processing basics

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

1. The TextRank algorithm is based on the PageRank algorithm and can be used not only for keyword extraction but also for text summarization.

A) True
B) False


2. What are the main methods for reducing the dimensionality of an image? (Multiple choice)

A) Feature Descriptor
B) Segmentation of Region of Interest
C) Denoising
D) Downsampling


3. Use binarization to segment character regions. Due to noise, all character connected regions are stuck together. What method can be used to separate the characters?

A) Closing operation
B) Expansion
C) Opening
D) Gamma Correction


4. When using gensim to implement word2vec, which parameter represents the dimension of the output word vector?

A) hs
B) size
C) window
D) min_count


5. The facial features detection API detects facial features of the input image and returns the coordinates of key points representing the location of the facial features. How many landmark points are currently supported?

A) 68
B) 50
C) 10
D) 20


Solutions:

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

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