- Exam Code: H13-321_V2.5
- Exam Name: HCIP-AI-EI Developer V2.5
- Certification Provider: Huawei
- Corresponding Certification:HCIP-AI EI Developer
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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Development with Huawei ModelArts | - AutoML Capabilities - Training Models on ModelArts - ModelArts Platform Overview |
| Topic 2: Data Processing | - Data Labeling and Preparation - Feature Engineering - Data Collection and Cleaning |
| Topic 3: AI Application Development (EI) | - AI Service Integration - Enterprise Intelligence (EI) Concepts - Building AI Applications |
| Topic 4: Machine Learning | - Supervised Learning
|
| Topic 5: Huawei AI Ecosystem Tools | - MindSpore Framework Basics - AI Development Toolchain - Huawei Cloud AI Services |
| Topic 6: Deep Learning | - Neural Network Fundamentals - Model Training and Optimization - CNN and RNN Architectures |
| Topic 7: Model Deployment and Operations | - Monitoring and Maintenance - Inference Services - Model Deployment Strategies |
| Topic 8: AI Fundamentals | - Introduction to Artificial Intelligence - Common AI Use Cases in Industry - AI Development Lifecycle |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Question 1
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.)
Question 2
Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?
A. CNNs are suitable for image tasks, but they perform poorly in text tasks.
B. Color image input is multi-channel, whereas text input is single-channel.
C. For CNN, there is no difference in handling text or image tasks.
D. 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.
Question 3
Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?
A. Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
B. Gamma correction applies only to grayscale images and does not apply to color images.
C. When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
D. When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
Question 4
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:
Question 5
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
A. FALSE
B. TRUE
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: B,D | Question 3 Answer: A,C,D | Question 4 Answer: Only visible for members | Question 5 Answer: B |
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