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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Image Processing Labs | - Practical Development
|
| Natural Language Processing Labs | - Practical Development
|
| ModelArts Platform Overview | - AI Development Platform
|
| Speech Processing Labs | - Practical Development
|
| Speech Processing Theory and Applications | - Speech AI Technologies
|
| Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Natural Language Processing Theory and Applications | - NLP Fundamentals
|
| Neural Network Basics | - Neural Network Fundamentals
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
RNN is similar to HMM and can be applied to serialized data scenarios.
A. False
B. True
Question 2
The rule-based approach is like the instinct of a machine. The machine does what the program says. Machine learning is the ability of a machine to learn after birth, and data is the key to machine learning.
A. False
B. True
Question 3
When taking a selfie, what transformation does the image displayed by the front camera of the mobile phone need to undergo to become a real scene image?
A. Translation
B. Vertical Mirror
C. Rotation
D. Horizontal mirror
Question 4
Which of the following options is a hyperparameter? (Multiple choice)
A. K in KNN
B. K in K-Means
C. Information entropy in decision trees
D. C in SVM
Question 5
Gamma change is () processing, histogram equalization is () processing, mean filtering is () processing. ()
A. Point processing, local processing, and overall processing
B. Overall processing, point processing, local processing
C. Point processing, overall processing, local processing
D. Local processing, point processing, and overall processing
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: A,B,D | Question 5 Answer: C |


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