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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Artificial Intelligence Fundamentals | - Machine learning basics - Introduction to AI concepts - Deep learning fundamentals |
| Topic 2: AI Model Development | - Hyperparameter tuning - Model training and evaluation |
| Topic 3: Data Processing and Analysis | - Data preprocessing techniques - Feature engineering |
| Topic 4: AI Application Deployment and Operations | - AI service monitoring and optimization - Inference service deployment |
| Topic 5: Huawei AI Development Platform (ModelArts) | - Dataset management - ModelArts usage and workflow - Model training and deployment on ModelArts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. AI is the core research field of machine learning.
A) True
B) False
2. Word vector is also called ()
3. The goal of artificial intelligence is to make computers as smart as humans.
A) True
B) False
4. In order to effectively convert digital images into structured data, image feature extraction technology is needed to reduce the dimension of the data.
Which of the following are the main ideas for image feature extraction and data dimensionality reduction? (Multiple choice)
A) Downsampling
B) Segmentation of Region of Interest
C) Feature Descriptor
D) Pattern recognition
5. AI application development process
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: Only visible for members | Question # 3 Answer: A | Question # 4 Answer: A,B,C | Question # 5 Answer: Only visible for members |
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