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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Application Deployment and Operations | - AI service monitoring and optimization - Inference service deployment |
| Data Processing and Analysis | - Feature engineering - Data preprocessing techniques |
| AI Model Development | - Hyperparameter tuning - Model training and evaluation |
| Artificial Intelligence Fundamentals | - Machine learning basics - Introduction to AI concepts - Deep learning fundamentals |
| Huawei AI Development Platform (ModelArts) | - Dataset management - Model training and deployment on ModelArts - ModelArts usage and workflow |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
What types of image annotations does ModelArts support?
A. Object Detection
B. Image Segmentation
C. All of the above are true
D. Image Classification
Question 2
Color images can be converted from HSV color space to RGB color space, and RGB color space can also be directly converted to HSV color space.
A. True
B. False
Question 3
The learning rate is the coefficient that adjusts the weight value according to the error gradient.
A. True
B. False
Question 4
The perceptron is used to receive multiple signals and output a signal (composed of multiple neurons). Each input signal has a certain weight, and the product of the values of multiple input signals and the weights is calculated. The result (sum) is compared with the specified threshold to determine whether the neuron is activated.
A. True
B. False
Question 5
Suppose you have searched for 10,000 Weibo data and have no other information. Based on this data, you want to create a spoof text classification model that can divide each text into three categories: positive, negative, and neutral.
Which of the following models can perform the above text classification problem? (Multiple choice)
A. LSTM
B. TextCNN
C. None of the above
D. SVM
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: A,B |
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