Pass the actual test with the help of H13-321_V2.5 study guide
Updated: Sep 15, 2026
No. of Questions: 62 Questions & Answers with Testing Engine
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| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIP-AI-EI Developer V2.5 |
| Exam Number: | H13-321_V2.5 |
| Related Certifications: | HCIE-AI-EI Developer HCIA-AI-EI Developer |
| Passing Score: | 600/1000 |
| Available Languages: | Chinese, English |
| Exam Price: | USD 300 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60-70 |
| Exam Format: | Drag and Drop, True or False, Multiple Choice, Simulation |
| Sample Questions: | Huawei H13-321_V2.5 Sample Questions |
| Exam Way: | Online/Offline Testing Center |
| Pre Condition: | Recommended: HCIA-AI-EI Developer certification or equivalent knowledge of deep learning and Huawei cloud services |
| Official Syllabus URL: | https://support.huawei.com/hedex/hdx.do?docid=DOC1000203314 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: EI Model Development Fundamentals | 15% | - Model Development Process - Development Environment Setup - EI Service and Architecture - HiLens Framework and Skills |
| Topic 2: ModelArts Pro Development | 20% | - Model Deployment and Management - AutoML and Automatic Model Training - Inference Service Configuration - Hyperparameter Optimization |
| Topic 3: Deep Learning Fundamentals | 15% | - Neural Network Basics - CNN and RNN Architectures - Optimization Algorithms - Training and Fine-tuning |
| Topic 4: HiLens Platform Development | 20% | - Edge Deployment Strategy - Real-time Inference Optimization - Multi-modal Data Processing - Skill Development Framework |
| Topic 5: Natural Language Processing Application | 15% | - Named Entity Recognition - Text Classification Models - Language Model Fine-tuning - Text Preprocessing and Embedding |
| Topic 6: Image Recognition Application Development | 15% | - Image Classification Models - Image Segmentation - Transfer Learning with Pre-trained Models - Object Detection Implementation |
The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.
Correct Answer: B 🗳️
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Seq2Seq is a model that translates one sequence into another sequence, essentially consisting of two recurrent neural networks (RNNs), one is the Encoder, and the other is the ---------. (Fill in the blank.)
Reveal Solution Discussion 0Correct Answer:
Decoder
Explanation:
The Seq2Seq architecture is widely used in machine translation, speech recognition, and other NLP tasks. It consists of:
* Encoder:Processes the input sequence and encodes it into a fixed-length context vector containing semantic information.
* Decoder:Uses this context vector to generate the target output sequence step by step.
Exact Extract from HCIP-AI EI Developer V2.5:
"Seq2Seq models consist of an encoder and a decoder. The encoder transforms the input into a context vector, which the decoder uses to generate the output sequence." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Encoder-Decoder Architecture
Which of the following is a learning algorithm used for Markov chains?
Correct Answer: D 🗳️
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How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?
Correct Answer: C 🗳️
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In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?
Correct Answer: C 🗳️
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