Huawei H13-311_V3.5 Exam Topics
Huawei H13-311_V3.5 Exam Overview :
| Exam Name: | HCIA-AI V3.5 |
| Exam Code: | H13-311_V3.5 |
| Certifications: | Huawei HCIA, Huawei HCIA AI Certifications |
| Actual Exam Duration: | 90 minutes |
| Exam Registration Price: | USD200 |
| See Expected Questions: | Huawei H13-311_V3.5 Expected Questions in Actual Exam |
Huawei H13-311_V3.5 Exam Objectives :
| Section | Weight | Objectives |
|---|---|---|
| AI Overview | 10% | This section of the [code] exam by [vendor] covers the foundational concepts of Artificial Intelligence (AI). It assesses the understanding of AI's history, its applications, and its impact on various industries. The target audience, such as data scientists and AI engineers, is tested on their knowledge of basic AI definitions, types, and categories, alongside a general comprehension of how AI integrates with modern technologies. |
| Traditional Machine Learning Algorithms | 20% | Traditional machine learning algorithms, including linear regression, decision trees, and support vector machines, continue to play an essential role in AI. These classic algorithms provide foundational understanding through their application in both supervised and unsupervised learning. |
| Mainstream AI Development Frameworks | 18% | This section is designed to test the knowledge of software developers and AI practitioners on popular AI development frameworks. The exam measures their proficiency in utilizing frameworks such as TensorFlow, PyTorch, and Keras, covering the installation, setup, and integration of these tools into various AI workflows. The target audience must demonstrate an ability to choose the appropriate framework based on project needs and scalability requirements. |
| Huawei AI Development Framework MindSpore | 3% | This segment focuses on Huawei's AI framework, MindSpore. It assesses the target audience's understanding of the framework's architecture and its application in real-time AI tasks. Professionals such as AI developers are evaluated on their ability to use MindSpore for developing AI models efficiently while ensuring privacy protection and reducing resource consumption. |
| Full-Stack All-Scenario AI Strategy | 5% | This section covers full-stack AI solutions that integrate various AI technologies into a cohesive framework, allowing businesses to apply AI across multiple scenarios. These strategies encompass the full scope of AI components, from data collection and model building to deployment and monitoring, ensuring smooth integration into existing business processes |
| Huawei Cloud Enterprise Intelligence Application Platform | 5% | This section is aimed at cloud architects and AI professionals who work with enterprise-level cloud AI solutions. The exam tests the candidate's ability to use Huawei's Cloud Enterprise Intelligence Application Platform for large-scale AI deployments. Topics include cloud-based AI model training, big data processing, and integration of AI with enterprise applications for enhanced business intelligence. |
| Development Trends of Cutting-Edge AI Technologies | 17% | This section covers current trends in artificial intelligence that are reshaping the technological landscape with significant implications for various industries. |
| Official Information | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aie.html |
Updates in the Huawei H13-311_V3.5 Exam Topics:
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