Huawei HCIA-AI V3.5 - H13-311_V3.5

Exam Code: H13-311_V3.5
Exam Name: HCIA-AI V3.5
Updated: Sep 07, 2026
Q & A: 430 Questions and Answers

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Huawei H13-311_V3.5 Exam Syllabus Topics:

Topic	Details
Topic 1	Traditional Machine Learning Algorithms: This section covers traditional machine learning algorithms, including linear regression, decision trees, and support vector machines, which continue to play an essential role in AI.
Topic 2	Full-Stack All-Scenario AI Strategy: This section covers full-stack AI solutions that integrate a range of AI technologies into a cohesive framework, allowing businesses to apply AI across multiple scenarios.
Topic 3	Deep Learning Overview: In this part, deep learning specialists are evaluated on their expertise in deep learning theories and applications. Key topics include neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and processes like backpropagation and gradient descent.
Topic 4	AI Overview: This section of the exam focuses on the fundamental concepts of Artificial Intelligence (AI). It evaluates the target audience’s understanding of AI’s historical development, its various applications, and its impact across different industries. The target group includes data scientists and AI engineers.
Topic 5	Huawei AI Development Framework MindSpore: This segment covers Huawei's proprietary AI framework, MindSpore. It evaluates AI developers' understanding of the framework’s structure and its efficiency in handling real-time AI tasks.

Reference: https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aie.html

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