Get real H13-321_V2.5 exam questions for better preparation

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Last Updated: Jun 04, 2026

No. of Questions: 62 Questions & Answers with Testing Engine

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

1. Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?

A) Color image input is multi-channel, whereas text input is single-channel.
B) When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
C) CNNs are suitable for image tasks, but they perform poorly in text tasks.
D) For CNN, there is no difference in handling text or image tasks.


2. 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


3. A text classification task has only one final output, while a sequence labeling task has an output in each input position.

A) FALSE
B) TRUE


4. Which of the following applications are supported by ModelArts ExeML?

A) Automatic offering classification
B) Predictive maintenance of manufacturing equipment
C) Anomalous sound detection in production or security scenarios
D) Dress code conformance monitoring in campuses


5. 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


Solutions:

Question # 1
Answer: A,B
Question # 2
Answer: B
Question # 3
Answer: B
Question # 4
Answer: A,B,C,D
Question # 5
Answer: A

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