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

H13-321_V2.5 pass collection

Exam Code: H13-321_V2.5

Exam Name: HCIP-AI-EI Developer V2.5

Updated: Nov 10, 2026

Q & A: 62 Questions and Answers

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

          Question #1

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

          • A. MP3
          • B. WAV
          • C. AAC
          • D. PCM
          Reveal Solution  Discussion  0

          Correct Answer: A,B,D  🗳️

          Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).

          Question #2

          Huawei Cloud ModelArts is a one-stop AI development platform that supports multiple AI scenarios. Which of the following scenarios are supported by ModelArts?

          • A. Speech recognition
          • B. Object detection
          • C. Video analytics
          • D. Image classification
          Reveal Solution  Discussion  0

          Correct Answer: A,B,C,D  🗳️

          Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).

          Question #3

          How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?

          • A. 9
          • B. 55
          • C. 10
          • D. 28
          Reveal Solution  Discussion  0

          Correct Answer: D  🗳️

          Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).

          Question #4

          Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?

          • A. For CNN, there is no difference in handling text or image tasks.
          • B. When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
          • C. CNNs are suitable for image tasks, but they perform poorly in text tasks.
          • D. Color image input is multi-channel, whereas text input is single-channel.
          Reveal Solution  Discussion  0

          Correct Answer: B,D  🗳️

          Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).

          Question #5

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

          • A. TRUE
          • B. FALSE
          Reveal Solution  Discussion  0

          Correct Answer: A  🗳️

          Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).

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