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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Neural Network Basics | - Neural Network Fundamentals
|
| Image Processing Labs | - Practical Development
|
| Speech Processing Theory and Applications | - Speech AI Technologies
|
| Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Natural Language Processing Theory and Applications | - NLP Fundamentals
|
| ModelArts Platform Overview | - AI Development Platform
|
| Speech Processing Labs | - Practical Development
|
| Natural Language Processing Labs | - Practical Development
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
How can the entire digital image after sampling and quantization be represented mathematically?
A. Pixels
B. Coordinates
C. Channel
D. Matrix
Question 2
Which of the following is a classification performance measurement indicator? (Multiple choice)
A. Accuracy
B. recall
C. False rate
D. precision
Question 3
An APP that can display the plant name and cultivation method after taking a photo of a potted plant. Its core is the use of image segmentation technology.
A. False
B. True
Question 4
What is the biggest problem with parameter synthesis method?
A. Parameters are difficult to obtain
B. Speech rate unknown
C. Poor sound quality
D. Uncertain waveform
Question 5
Which of the following annotation types is not available when creating image datasets in ModelArts data management?
A. Image Generation
B. Image Classification
C. Image Segmentation
D. Object Detection
Solutions:
| Question 1 Answer: D | Question 2 Answer: A,B,C,D | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: A |
