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Huawei H13-321_V2.0 exam covers a wide range of topics, including AI Application Development (AID) using the Huawei ModelArts, implementing Computer Vision with Huawei OpenCV, developing Natural Language Processing (NLP) and Speech Recognition apps with the Huawei HiAI SDK, and using the Huawei MindSpore framework to build Machine Learning models. H13-321_V2.0 Exam also focuses on testing the candidate's understanding of AI principles, how they can be applied to solve business problems, and the importance of data security and privacy when working with AI applications.
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Huawei HCIP-AI-EI Developer V2.0 Sample Questions (Q64-Q69):
NEW QUESTION # 64
Which of the following belongs to the language model?
- A. DT
- B. Adaboost
- C. N-gram
- D. GT
Answer: C
NEW QUESTION # 65
Traditional machine learning models have limited model capacity. Therefore, when the feature dimension is large, the performance will be very poor. Therefore, we need to do feature extraction and selection in traditional machine learning projects.
- A. True
- B. False
Answer: A
NEW QUESTION # 66
After the ModelArts automatic learning object detection model is deployed, users can add pictures for testing. Which of the following options are output prediction results? (Multiple choice)
- A. Label predicted by each detection box
- B. Four-point coordinates of each detection box
- C. Confidence of each detection box
- D. The true label of each detection box
Answer: A,B,C
NEW QUESTION # 67
The learning rate is the coefficient that adjusts the weight value according to the error gradient.
- A. True
- B. False
Answer: A
NEW QUESTION # 68
The HMM algorithm is a generative model, and CRF is a discriminative model. Both can be used for sequential labeling.
- A. True
- B. False
Answer: A
NEW QUESTION # 69
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