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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of ModelArts | 4% | |
| Topic 2: Image Processing Theory and Applications | 26% | |
| Topic 3: Speech Processing Theory and Applications | 10% | |
| Topic 4: Image Processing Lab Guide | 12% | |
| Topic 5: Neural Network Basics | 4% | |
| Topic 6: ModelArts Lab Guide | 10% | |
| Topic 7: Overview of Huawei's AI Development Strategy and Full-Stack All-Scenario AI Portfolio | 2% | |
| Topic 8: Natural Language Processing Theory and Applications | 10% | |
| Topic 9: Natural Language Processing Lab Guide | 10% | |
| Topic 10: Speech Processing Lab Guide | 12% |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question #1
When using a convolutional neural network, it is usually sufficient to directly input the original image without artificial preprocessing and feature extraction.
A. False
B. True
Question #2
Which of the following is not a common method for text vectorization?
A. DM
B. EM
C. DBOW
D. CBOW
Question #3
What are the processing steps involved in image digitization? (Multiple choice)
A. Quantification
B. Binarization
C. Grayscale transformation
D. Sampling
Question #4
The OTSU algorithm traverses possible thresholds and selects the maximum segmentation threshold between the foreground area and the background area () as the optimal threshold.
A. Absolute difference
B. Cumulative difference of pixel values
C. Between-class variance
D. Area difference
Question #5
Based on Ascend 310, Huawei has created four products for cloud and edge devices, using different forms to meet customers' performance requirements for inference, namely: Atlas 200 on the device side, Atlas 500 on the edge side, and Atlas 800 and 300 on the data center side.
A. False
B. True
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: A,D | Question #4 Correct Answer: C | Question #5 Correct Answer: B |
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