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| Section | Weight | Objectives |
|---|---|---|
| Intelligent Vision System Planning and Design | 15% | - System architecture and solution design - Platform and service planning - Network and storage design |
| Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions and implementation - Mainstream interconnection protocols and standards |
| Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
| Intelligent Vision System Service Commissioning | 8% | - System integration and interconnection - Core service enabling and testing |
| Intelligent Vision System Maintenance and Troubleshooting | 7% | - System monitoring and routine maintenance - Platform and service fault handling |
| Video Site Installation and Configuration | 18% | - Basic service configuration - Transmission and storage equipment deployment - Camera installation and debugging |
| Video Site Planning and Design | 10% | - Equipment selection and configuration - Power supply and transmission planning - Site selection and coverage design |
| Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm application and deployment - Common intelligent analysis algorithms |
| Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Cloud-based video service deployment |
| Video Site Service Commissioning | 5% | - Video service activation and verification - Link and performance commissioning |
| Intelligent Vision System Installation and Configuration | 12% | - Platform software deployment - Access and management configuration - System parameter configuration |
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Technical Principle and Application of Intelligent Camera | 5% | - Basic principles of intelligent cameras - Application scenarios of intelligent cameras - Key technologies: Supercolour, T-shot, high-density capture |
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NEW QUESTION # 24
When configuring a cloned camera on the intelligent vision platform, it supports not only the cloning of the local camera, but also the subduing of the external camera.
Answer: A
NEW QUESTION # 25
Which of the following RAID modes are supported by the IVS1800 business data disk? (Multiple choice)
Answer: C,D
NEW QUESTION # 26
In the basic construction stage of the video site, civil construction is an important link, which mainly includes site infrastructure construction, hand well construction, power and transmission introduction trench excavation and landfill.
Answer: A
NEW QUESTION # 27
Which of the following components constitute the Kunpeng computing industry?
Answer: A,B,C,D
Explanation:
The correct answer is A, B, C, and D because the Kunpeng computing industry is an end-to-end ecosystem rather than a single hardware product category. In the material, Kunpeng is presented not only as a processor platform, but as part of a broader ecosystem. The chip layer is evident from the discussion of processor architecture and capabilities, while the software layer is reflected where the document notes that "Kunpeng products use the following mainstream OSs: CentOS, Ubuntu, NeoKylin, Debian, Huawei EulerOS, Kylin, SUSE, and Deepin" . That directly confirms software and operating-system support as part of the industry foundation.
The hardware server layer is also intrinsic because Kunpeng processors are deployed through server products and computing infrastructure, not in isolation. On top of hardware and software, applications complete the industry chain by delivering business value in cloud, AI, and intelligent vision scenarios. In industry terminology, a computing ecosystem normally spans chips, hardware platforms, basic software, and applications , and Kunpeng follows that same structure. Therefore, all four options describe valid components of the Kunpeng computing industry, making A, B, C, and D the correct answer set.
NEW QUESTION # 28
The OS log of the intelligent vision platform means that when the service fails, the user can locate the problem by collecting the service log.
Answer: A
NEW QUESTION # 29
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