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| Section | Weight | Objectives |
|---|---|---|
| Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent algorithm principles - Algorithm deployment and application modes |
| Intelligent Vision System Planning and Design | 15% | - Reliability and security design - Capacity and performance design - System architecture and component planning |
| Technical Principle and Application of Video Big Data | 4% | - Big data analysis and application scenarios - Video big data processing technologies - Structured data and metadata management |
| Intelligent Vision System Installation and Configuration | 15% | - Platform hardware and software deployment - System networking and parameter configuration - Service module deployment and activation |
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance procedures - Fault location and recovery - Common faults and handling |
| Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - System linkage and scheduling verification - Basic service commissioning |
| Technical Principle and Application of Video Cloud | 5% | - Cloud-edge collaboration technologies - Video cloud architecture and features - Video cloud service applications |
| Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Video database technical specifications - Interconnection solutions in intelligent security |
| Video Site Installation and Configuration | 18% | - Access and interconnection configuration - Network and parameter configuration - Camera and peripheral installation |
| Video Site Planning and Design | 10% | - Equipment selection and configuration planning - Site selection and coverage planning - Transmission and power supply design |
| Intelligent Vision System Maintenance and Troubleshooting | 4% | - System backup and recovery - Common faults and solutions - System monitoring and management |
| Technical Principle and Application of Intelligent Camera | 5% | - Basic principles of intelligent cameras - Typical application scenarios - Core technologies: SuperColour, T-Shot, high-density capture |
| Video Site Service Commissioning | 5% | - Service function verification - Performance optimization - Image quality debugging |
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NEW QUESTION # 28
Which of the following descriptions about the micro-edge IVS1800 is correct?
Answer: C
NEW QUESTION # 29
The foundation construction of a video site consists of the following nine parts: positioning and routing, foundation pit excavation, construction material entry, foundation pit bottoming, ground part connecting, template fixing, anchor bolt cage and PE pipe embedding, concrete casting, construction site maintenance, template removal, and muck backfilling.
Answer: B
Explanation:
The correct answer is B. FALSE . The statement is internally inconsistent because it says there are nine parts
, but then lists more than nine items . More importantly, the construction sequence in the training material is described differently. The document states that civil engineering implementation includes "onsite measurement and routing, site arrangement, foundation pit excavation, lightning protection and grounding, foundation pit bedding, reinforced cage making, foundation template making, concrete casting, concrete maintenance, foundation pit backfilling, handhole making (optional), and trenching and cabling (optional)" That official sequence does not match the wording in the question exactly. Terms such as construction material entry , ground part connecting , template removal , and muck backfilling are either not stated in the same form or are not presented as part of a fixed nine-step list. From a professional project-delivery viewpoint, foundation construction is indeed a staged civil process, but the exam statement is inaccurate because both the count and the listed procedure names do not align with the material. Therefore, the statement should be judged false.
NEW QUESTION # 30
Which of the following are smart vision platform devices? (Multiple Choice)
Answer: A,D
NEW QUESTION # 31
IVS3800 realizes the unified management of the algorithm plug-ins of the whole network through the algorithm coordination feature, and ensures the consistency of the intelligent analysis data of the whole network. Which of the following are not part of the algorithmic synergy?
Answer: B
NEW QUESTION # 32
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 # 33
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