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

  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Aug 14, 2026
  • Q&As: 574 Questions and Answers

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H13-321_V2.0-ENU exam dumps

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

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

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

1. C. ANN is Huawei's chip enabling layer for deep neural networks and Ascend processors. What are its main functional modules? (Multiple choice)

A) CCE operator library
B) Low-level compiler
C) TBE
D) FusionEngine


2. What are the preset object detection models supported by ModelArts? (Multiple choice)

A) Faster_RCNN_RestNet_v2_50
B) RestNet_v1_50
C) Inception_v3
D) Faster_RCNN_RestNet_v1_50


3. Huawei Cloud's cloud monitoring service can monitor the relevant indicators of image recognition. Users can use the indicators to timely understand the usage of image recognition. Each sub-service has two indicators: the number of successful calls and the number of failed calls.

A) True
B) False


4. What does the image object detection algorithm need to complete? (Multiple choice)

A) Calculation of target edges (image segmentation)
B) Calculation of confidence (degree of certainty, a value between 0 and 1)
C) Calculation of target position
D) Determination of target category


5. The back propagation algorithm can be programmed to calculate the gradient of the neural network weights, thereby completing the training of the neural network through gradient descent.

A) True
B) False


Solutions:

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

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