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Huawei H13-321_V2.5 Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

1. In the deep neural network (DNN)-hidden Markov model (HMM), the DNN is mainly used for feature processing, while the HMM is mainly used for sequence modeling.

A) FALSE
B) TRUE

2. The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.

A) FALSE
B) TRUE

3. Overfitting is a condition where a model is overly simple and excessive generalization errors occur.

A) FALSE
B) TRUE

4. The U-Net uses an upsampling mechanism and has a fully-connected layer.

A) FALSE
B) TRUE

5. What are the advantages of deep learning-based speech recognition algorithms?

A) No data training
B) Forced alignment of annotated data
C) Automated feature extraction
D) End-to-end task processing

Solutions: