Free Huawei H13-321_V2.5 Practice Test & Real Exam Questions

Exam Code/Number: H13-321_V2.5
Exam Name/Title: HCIP-AI-EI Developer V2.5
Certification Provider: Huawei
Corresponding Certification: HCIP-AI EI Developer

Exam Questions: 62
Updated On: Jul 07, 2026

Question #1

Which of the following methods are useful when tackling overfitting?

A. Data augmentation

B. Using more complex models

C. Using parameter norm penalties

D. Using dropout during model training

Discussion 0

Correct Answer: A,C,D Vote an answer

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Question #2

In NLP tasks, transformer models perform well in multiple tasks due to their self-attention mechanism and parallel computing capability. Which of the following statements about transformer models are true?

A. Positional encoding is optional in a transformer model because the self-attention mechanism can naturally process the order information of sequences.

B. Multi-head attention is the core component of a transformer model. It computes multiple attention heads in parallel to capture semantic information in different subspaces.

C. A transformer model directly captures the dependency between different positions in the input sequence through the self-attention mechanism, without using the recurrent neural network (RNN) or convolutional neural network (CNN).

D. Transformer models outperform RNN and CNN in processing long texts because they can effectively capture global dependencies.

Discussion 0

Correct Answer: B,C,D Vote an answer

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Question #3

Which of the following are object detection algorithms?

A. Faster-R-CNN

B. YOLO

C. R-CNN

D. SSD

Discussion 0

Correct Answer: A,B,C,D Vote an answer

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Question #4

Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?

A. MP3

B. AAC

C. WAV

D. PCM

Discussion 0

Correct Answer: A,C,D Vote an answer

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Question #5

Which of the following applications are supported by ModelArts ExeML?

A. Anomalous sound detection in production or security scenarios

B. Automatic offering classification

C. Dress code conformance monitoring in campuses

D. Predictive maintenance of manufacturing equipment

Discussion 0

Correct Answer: A,B,C,D Vote an answer

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Question #6

Maximum likelihood estimation (MLE) requires knowledge of the sample data's distribution type.

A. TRUE

B. FALSE

Discussion 0

Correct Answer: A Vote an answer

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Question #7

Which of the following ModelArts training parameters is used to customize hyperparameters?

A. Algorithm Type

B. Resource Pool

C. Hyperparameter

D. Compute Nodes

Discussion 0

Correct Answer: C Vote an answer

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