Huawei H13-321_V2.0-ENU Q&A - in .pdf

  • H13-321_V2.0-ENU pdf
  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 03, 2026
  • Q & A: 574 Questions and Answers
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  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
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  • Q & A: 574 Questions and Answers
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  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 03, 2026
  • Q & A: 574 Questions and Answers
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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Neural Network Basics4%- Basic concepts of neural networks
- Gradient descent and backpropagation
- Activation functions and regularization
- Multilayer Perceptron (MLP)
Topic 2: Speech Processing Lab Guide12%- ModelArts speech application deployment
- Huawei Cloud Speech Interaction Service
- ASR and TTS service development
Topic 3: Natural Language Processing Lab Guide10%- Application integration and deployment
- Text classification and NER implementation
- ModelArts NLP model training and tuning
Topic 4: Natural Language Processing Theory and Applications10%- RNN, LSTM, GRU, Transformer architecture
- Text classification, NER, machine translation
- Word representation and embedding
- BERT, GPT and pre-trained models
Topic 5: Speech Processing Theory and Applications10%- Text-to-Speech (TTS) technology
- Automatic Speech Recognition (ASR)
- Acoustic and language modeling
- Speech signal characteristics and processing
Topic 6: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio2%- Huawei AI development strategy
- Full-stack and all-scenario AI technology layout
Topic 7: Overview of ModelArts4%- Data processing, training, deployment capabilities
- ModelArts platform positioning and architecture
- Development environment and tool usage
Topic 8: Image Processing Lab Guide12%- ModelArts-based image classification
- Ascend-based deployment
- Object detection and segmentation practice
Topic 9: Image Processing Theory and Applications26%- Image processing fundamentals
- Image classification, object detection, segmentation
- OCR and visual application development
- Convolutional Neural Networks (CNN)

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

Question 1

What are the ways to initiate a REST API request?


Question 2

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

A. False
B. True


Question 3

A photo has many small noise points during storage. The best denoising effect is to perform () operation on the scanned copy.

A. Mean Filter
B. Median Filter
C. Gaussian filtering
D. Laplace filtering


Question 4

Which of the following descriptions of the bimodal adaptive threshold segmentation method are correct? (Multiple choice)

A. If the grayscale histogram of the image is very flat or has multiple peaks, the bimodal method cannot be used to obtain a suitable threshold.
B. If the image grayscale histogram is obviously bimodal, the grayscale value corresponding to the valley between the two peaks is selected as the threshold for image segmentation.
C. The bimodal method divides the image into foreground and background according to the grayscale characteristics of the image. The larger the inter-class variance between the foreground and the background, the greater the difference between the two parts that make up the image.
D. Histogram bimodal method is an easy-to-understand adaptive threshold algorithm


Question 5

Which of the following options is not a sequence annotation method?

A. N-Gram
B. CRF
C. HNM
D. MEMM


Solutions:

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

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