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  1. Home
  2. Huawei Certification
  3. H13-321_V2.5 Exam
  4. Huawei.H13-321_V2.5.premium Dumps

Free Huawei H13-321_V2.5 Exam Dumps Questions & Answers

Exam Code/Number:H13-321_V2.5Join the discussion
Exam Name:HCIP-AI-EI Developer V2.5
Certification:Huawei
Question Number:62
Publish Date:Sep 05, 2026
Rating
100%
Page: 1 / 13
Total 62 questions
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Question 1

In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)

Correct Answer:
Decoder
Explanation:
The Transformer model architecture includes:
* Encoder:Encodes the input sequence into contextualized representations.
* Decoder:Uses the encoder output and self-attention over previously generated tokens to produce the target sequence.
Exact Extract from HCIP-AI EI Developer V2.5:
"The Transformer consists of an encoder-decoder structure, with self-attention mechanisms in both components for sequence-to-sequence learning." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Transformer Overview

Question 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.

Correct Answer: A
Explanation: (Only visible for FreeQAs members)

Question 3

In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.

Correct Answer: B
Explanation: (Only visible for FreeQAs members)

Question 4

Which of the following is a learning algorithm used for Markov chains?

Correct Answer: B
Explanation: (Only visible for FreeQAs members)

Question 5

Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

Correct Answer: A
Explanation: (Only visible for FreeQAs members)

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H13-321_V2.5 Dumps Other Version

Huawei.H13-321_V2.5.v2025-10-27.q23

Oct 27, 2025

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