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| Section | Objectives |
|---|---|
| AI and Deep Learning Technologies | - Artificial Intelligence Fundamentals - Model Training and Inference - Deep Learning Concepts |
| Machine Vision Fundamentals | - Image Processing Fundamentals - Video Processing Fundamentals - Computer Vision Basics |
| Operations and Maintenance | - System Monitoring - Performance Optimization - Fault Diagnosis and Troubleshooting |
| Industry Application Scenarios | - Industrial Vision Applications - Transportation - Safe City - Smart Campus |
| Solution Design and Deployment | - Deployment and Configuration - Solution Architecture Design - Project Planning |
| Huawei Intelligent Vision Products | - Edge Computing Devices - Intelligent Cameras - Cloud and Platform Services - Atlas AI Computing Platform |
| Intelligent Vision Overview | - Huawei Intelligent Vision Solution Architecture - Core Technologies and Components - Intelligent Vision Industry Trends |
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NEW QUESTION # 46
Regarding the business nodes of the IVS3800, which of the following statements is incorrect?
Answer: D
NEW QUESTION # 47
Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.
Answer:
Explanation:
Explanation:
* CPU # Central processing unit
* GPU # Graphics processing unit
* FPGA # Field-programmable gate array
* NPU # Neural processing unit
The correct matching is based on the standard definitions of the four processor types used in intelligent vision architecture. A CPU is the central processing unit , which handles general-purpose control, logic execution, and system coordination. A GPU is the graphics processing unit , originally designed for graphics rendering but now widely used for parallel computing tasks. An FPGA is a field-programmable gate array , which can be reconfigured for specific hardware logic functions and is valuable in acceleration and low-latency processing scenarios. An NPU is a neural processing unit , specialized for AI inference and deep-learning operations.
In intelligent vision systems, these processors serve different but complementary roles. The CPU manages operating control and service orchestration. The GPU accelerates highly parallel workloads. The FPGA supports custom hardware logic and fast pipeline processing. The NPU is especially important for AI-based vision services because it is optimized for neural-network computation, target recognition, and inference efficiency. This processor division is fundamental in intelligent camera, edge, and cloud architecture, where workload specialization improves overall system performance and intelligence capability.
NEW QUESTION # 48
The IVS3800 server is based on the AI accelerator card to achieve business analysis and retrieval acceleration.
Answer: A
NEW QUESTION # 49
Which of the following cannot be checked when the patrol function is running on the CSP?
Answer: C
NEW QUESTION # 50
Which of the following descriptions of the SDC OS lightweight microservice governance framework is correct?
Answer: B
NEW QUESTION # 51
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