Huawei H13-321_V2.5 : HCIP-AI-EI Developer V2.5

  • Exam Code: H13-321_V2.5
  • Exam Name: HCIP-AI-EI Developer V2.5
  • Updated: Jul 31, 2026     Q & A: 62 Questions and Answers

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Huawei H13-321_V2.5 Exam Syllabus Topics:

SectionObjectives
Machine Learning- Unsupervised Learning
  • 1. Clustering Methods
    • 2. Dimensionality Reduction
      - Supervised Learning
      • 1. Classification Algorithms
        • 2. Regression Algorithms
          AI Fundamentals- AI Development Lifecycle
          - Common AI Use Cases in Industry
          - Introduction to Artificial Intelligence
          Model Deployment and Operations- Inference Services
          - Model Deployment Strategies
          - Monitoring and Maintenance
          Huawei AI Ecosystem Tools- MindSpore Framework Basics
          - Huawei Cloud AI Services
          - AI Development Toolchain
          AI Application Development (EI)- AI Service Integration
          - Enterprise Intelligence (EI) Concepts
          - Building AI Applications
          Deep Learning- Model Training and Optimization
          - CNN and RNN Architectures
          - Neural Network Fundamentals
          Model Development with Huawei ModelArts- AutoML Capabilities
          - ModelArts Platform Overview
          - Training Models on ModelArts
          Data Processing- Feature Engineering
          - Data Labeling and Preparation
          - Data Collection and Cleaning

          Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

          1. What type of task is viewed when using the Seq2Seq model in speech recognition?

          A) Regression task
          B) Dimensionality reduction task
          C) Classification task
          D) Clustering task


          2. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.

          A) TRUE
          B) FALSE


          3. When the chi-square test is used for feature selection, SelectKBest and _____ function or class must be imported from the sklearn.feature_selection module. (Enter the function interface name.) chi2 Explanation:
          In feature selection for classification tasks, thechi-square (#²)statistical test can be applied to evaluate the independence between features and target labels.
          In Python's scikit-learn library, this is implemented using:


          4. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)


          5. Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?

          A) WAV
          B) AAC
          C) MP3
          D) PCM


          Solutions:

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

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