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

  • Exam Code: H13-321_V2.0
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Aug 09, 2026
  • Q&As: 574 Questions and Answers

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Huawei H13-321_V2.0 Exam Syllabus Topics:

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

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

1. 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) 50
B) 10
C) 20
D) 68


2. What operation does "isinstance" represent in TensorFlow2.0?

A) Determine whether it is a Tensor
B) Determine whether it is numpy
C) View device information
D) Merge tensors


3. In the Hidden Markov Model, which of the following options can be calculated using the Gaussian Mixture Model (GMM)?

A) Observation Probability
B) Language Probability
C) Initial Probability
D) Transition Probability


4. Which of the following is not the basic computing resource in the AI Core of the Yiteng AI chip?

A) Vector calculation unit
B) Tensor calculation unit
C) Scalar calculation unit
D) Matrix calculation unit


5. Which of the following models can be used for natural language processing?

A) SVM
B) Linear regression
C) HMM
D) DT


Solutions:

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

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