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: Sep 15, 2026

Q & A: 62 Questions and Answers

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Huawei H13-321_V2.5 Exam Syllabus Topics:

Section	Objectives
Topic 1: Deep Learning	- Model Training and Optimization - Neural Network Fundamentals - CNN and RNN Architectures
Topic 2: Machine Learning	- Unsupervised Learning 1. Clustering Methods 2. Dimensionality Reduction - Supervised Learning 1. Classification Algorithms 2. Regression Algorithms
Topic 3: Huawei AI Ecosystem Tools	- AI Development Toolchain - MindSpore Framework Basics - Huawei Cloud AI Services
Topic 4: Model Deployment and Operations	- Monitoring and Maintenance - Inference Services - Model Deployment Strategies
Topic 5: Data Processing	- Data Labeling and Preparation - Feature Engineering - Data Collection and Cleaning
Topic 6: AI Fundamentals	- Introduction to Artificial Intelligence - Common AI Use Cases in Industry - AI Development Lifecycle
Topic 7: Model Development with Huawei ModelArts	- Training Models on ModelArts - ModelArts Platform Overview - AutoML Capabilities
Topic 8: AI Application Development (EI)	- Building AI Applications - Enterprise Intelligence (EI) Concepts - AI Service Integration

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

Question #1

If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?

A. Affine transformation
B. Perspective transformation
C. Rotational transformation
D. Grayscale transformation

Reveal Solution Discussion 0

Correct Answer: A,C 🗳️

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Question #2

In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.

A. FALSE
B. TRUE

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #3

In the image recognition algorithm, the structure design of the convolutional layer has a great impact on its performance. Which of the following statements are true about the structure and mechanism of the convolutional layer? (Transposed convolution is not considered.)

A. A stride in the convolutional layer can control the spatial resolution of the output feature map. A larger stride indicates a smaller output feature map and simpler calculation.
B. The convolutional layer slides over the input feature map using a convolution kernel of a fixed size to extract local features without explicitly defining their features.
C. In the convolutional layer, each neuron only collects some information. This effectively reduces the memory required.
D. The convolutional layer uses parameter sharing so that features at different positions share the same group of parameters. This reduces the number of network parameters required but reduces the expression capabilities of models.

Reveal Solution Discussion 0

Correct Answer: A,B,C,D 🗳️

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Question #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.)

Reveal Solution Discussion 0

Correct Answer:

Decoder
Explanation:
The Transformer model architecture includes:
* Encoder:Encodes the input sequence into contextualized representations.
* Decoder:Uses the encoder output and self-attention over previously generated tokens to produce the target sequence.
Exact Extract from HCIP-AI EI Developer V2.5:
"The Transformer consists of an encoder-decoder structure, with self-attention mechanisms in both components for sequence-to-sequence learning." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Transformer Overview

Question #5

In an HSV color space, H is for hue, S is for saturation, and V is for value. Which of the following statements about the HSV color space are true?

A. Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
B. Saturation describes how vivid the color is. The lower the saturation, the closer the color is to gray. The higher the saturation, the more vivid the color.
C. Hue indicates the basic color attributes, such as red, green, and blue.
D. The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.

Reveal Solution Discussion 0

Correct Answer: A,B,C 🗳️

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

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H13-321_V2.5 cram sheet pdf free download to learn more about HCIP-AI-EI Developer V2.5

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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