HCIP-AI-EI Developer V2.0: H13-321_V2.0 Exam


"HCIP-AI-EI Developer V2.0", also known as H13-321_V2.0 exam, is a Huawei Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 574 Q&As to your H13-321_V2.0 Exam preparation. In the H13-321_V2.0 exam resources, you will cover every field and category in HCIP AI EI Certification helping to ready you for your successful Huawei Certification.

  • Exam Code: H13-321_V2.0
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Total Questions: 574
  • Certification Provider: Huawei
  • Corresponding Certification: HCIP AI EI
  • Updated on: Sep 18, 2026

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Huawei H13-321_V2.0 Exam Syllabus Topics:

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

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

When trying to use SelectKBest for feature selection, which of the following options uses the card method to select features?

  • A. mutual_info_regression
  • B. chi2
  • C. mutual_info_classif
  • D. f_regression
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

In REST API, what is the correct way to use HTTP method request message headers? (Multiple choice)

  • A. PUT, requesting the server to update the specified resource
  • B. DELETE, requesting the server to delete a specified resource, such as deleting an object
  • C. GET, requesting the server to return a specified resource
  • D. PATCH, requesting the server to add new resources or perform special operations
Reveal Solution  Discussion  0

Correct Answer: A,B,C,D  🗳️

TensorFlow 2 does not perform graph operations by default. Which method should be used to use graph operations?

  • A. tensorbord
  • B. session
  • C. @tf.function
  • D. tensor_to_dense
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Modelarts images cannot be labeled in batches.

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

Correct Answer: A  🗳️

ModelArts model training process

Reveal Solution  Discussion  0

Correct Answer:

Select training algorithm, select data set, configure training hyperparameters, select training resources, and start training

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