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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Artificial Intelligence Fundamentals | - Deep learning fundamentals - Introduction to AI concepts - Machine learning basics |
| Topic 2: AI Model Development | - Model training and evaluation - Hyperparameter tuning |
| Topic 3: AI Application Deployment and Operations | - Inference service deployment - AI service monitoring and optimization |
| Topic 4: Data Processing and Analysis | - Feature engineering - Data preprocessing techniques |
| Topic 5: 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
Which of the following options is the application classification of Al chip business?
A. Training and Inference
B. Compilation and training
C. Acceleration and Training
D. Inference and acceleration
Question 2
When using ModelArts automatic learning to build an image classification project, the images used for training must have at least () categories, and the number of images for each category must be no less than ()
Question 3
With the initial probability and transition probability matrix, the probability of any state can be calculated.
A. True
B. False
Question 4
When using a convolutional neural network, it is usually sufficient to directly input the original image without artificial preprocessing and feature extraction.
A. True
B. False
Question 5
The goal of artificial intelligence is to make computers as smart as humans.
A. True
B. False
Solutions:
| Question 1 Answer: A | Question 2 Answer: Only visible for members | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: A |


