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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Theory and Applications | 10% | |
| Neural Network Basics | 4% | |
| Natural Language Processing Lab Guide | 10% | |
| Overview of Huawei's AI Development Strategy and Full-Stack All-Scenario AI Portfolio | 2% | |
| Image Processing Lab Guide | 12% | |
| Image Processing Theory and Applications | 26% | |
| Speech Processing Lab Guide | 12% | |
| ModelArts Lab Guide | 10% | |
| Speech Processing Theory and Applications | 10% | |
| Overview of ModelArts | 4% |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Speech recognition technology is a technology that allows machines to convert text into speech through recognition and understanding.
A) False
B) True
2. Which statistical analysis icon is used to analyze the bottleneck of user conversion?
A) Daily Active Users
B) Path Funnel Model
C) Collapse Trend
D) Channel Analysis
3. The further the value of Y in gamma correction is from (), the greater the transformation intensity of gamma correction.
4. The model is trained based on the labeled data. The output of the model prediction is a continuous value. An example of this type of task is to predict the claim amount of the insured (used to set the insurance premium). What type of task does this machine learning belong to?
A) Regression
B) Classification
C) Clustering
D) Generate
5. When using the image labeling API provided by Huawei Cloud, which of the following methods are supported for importing images? (Multiple choice)
A) Huawei Cloud Disk
B) Url
C) Read directly from OBS
D) Base64 encoding
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: Only visible for members | Question # 4 Answer: A | Question # 5 Answer: B,C,D |


