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

Huawei H13-321_V2.0-ENU test insides dumps
  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 17, 2026
  • Q & A: 574 Questions and Answers
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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
SectionObjectives
AI Model Development- Model training and evaluation
- Hyperparameter tuning
Data Processing and Analysis- Data preprocessing techniques
- Feature engineering
AI Application Deployment and Operations- AI service monitoring and optimization
- Inference service deployment
Artificial Intelligence Fundamentals- Machine learning basics
- Deep learning fundamentals
- Introduction to AI concepts
Huawei AI Development Platform (ModelArts)- Dataset management
- Model training and deployment on ModelArts
- ModelArts usage and workflow
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question #1

Which of the following operators can be used to implement edge detection through the filter method? (Multiple choice)

  • A. Sobel operator
  • B. Laplacian operator
  • C. Prewitt operator
  • D. Gaussian operator
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Question #2

The back propagation algorithm (BP algorithm) mainly has two stages: forward propagation stage and back propagation stage, which completes the parameter update work in the neural network.

  • A. True
  • B. False
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

Which optimizer is used in the following code?
Adadelta = tf.keras.optimizers.Adadelta ()
Model.compile (loss=' binary_crossentropy ',
Optimizer = ' adam ',
Metrics = ['accuracy'])

  • A. SGD
  • B. Adadelta
  • C. Adaboost
  • D. Adam
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

Which of the following descriptions of the depth and width of deep learning neural networks are correct? (Multiple choice)

  • A. Experiments have shown that increasing network width is much more efficient than increasing network depth.
  • B. The more layers of the neural network, the better
  • C. When there are only two hidden layers, no matter how many neurons are added, the performance improvement of the network is very limited. However, if one more hidden layer is added, the performance of the model will be significantly improved.
  • D. Experiments have shown that increasing the depth of the network is much more efficient than increasing the width of the network.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Question #5

ModelArts has a concept called inclusive AI. Inclusive AI means that more people can do AI development, which lowers the threshold for use; at the same time, more people can afford AI development, which reduces costs.

  • A. True
  • B. False
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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