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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing and Analysis | - Feature engineering - Data preprocessing techniques |
| Topic 2: Huawei AI Development Platform (ModelArts) | - Model training and deployment on ModelArts - Dataset management - ModelArts usage and workflow |
| Topic 3: AI Model Development | - Hyperparameter tuning - Model training and evaluation |
| Topic 4: AI Application Deployment and Operations | - Inference service deployment - AI service monitoring and optimization |
| Topic 5: Artificial Intelligence Fundamentals | - Machine learning basics - Deep learning fundamentals - Introduction to AI concepts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
After successfully calling the speech recognition service, in the returned information, the ________ field contains the recognition result
Reveal Solution Discussion 0Correct Answer:
text
What are the basic tasks of image recognition? (Multiple choice)
- A. Image Classification
- B. Image Segmentation
- C. Target Tracking
- D. Object Detection
Correct Answer: A,B,C,D 🗳️
With the initial probability and transition probability matrix, the probability of any state can be calculated.
- A. False
- B. True
Correct Answer: B 🗳️
Both the Intel 310 and Intel 910 use the Da Vinci architecture.
- A. False
- B. True
Correct Answer: B 🗳️
In the process of model training and evaluation, overfitting and underfitting often occur. Which of the following descriptions of overfitting and underfitting is correct?
- A. Overfitting is reflected in the evaluation indicators, that is, the model performs well on the training set, but performs poorly on the test set and new data.
- B. Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.
- C. Underfitting refers to a situation where the model performs well both during training and prediction.
- D. Overfitting refers to a situation where the model does not fit the training data sufficiently.
Correct Answer: A 🗳️
