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| Section | Weight | Objectives |
|---|---|---|
| Video Interconnection Technology Standard and Application | 3% | - Mainstream interconnection protocols and standards - Interconnection solutions and implementation |
| 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 - Site selection and coverage design - Power supply and transmission planning |
| Intelligent Vision System Planning and Design | 15% | - Platform and service planning - System architecture and solution design - Network and storage design |
| Intelligent Vision System Service Commissioning | 8% | - System integration and interconnection - Core service enabling and testing |
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| 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 |
| Intelligent Vision System Installation and Configuration | 12% | - Platform software deployment - System parameter configuration - Access and management configuration |
| Video Site Service Commissioning | 5% | - Link and performance commissioning - Video service activation and verification |
| Intelligent Vision System Maintenance and Troubleshooting | 7% | - System monitoring and routine maintenance - Platform and service fault handling |
| 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 |
| Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
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NEW QUESTION # 36
The implementation process of video summarization technology is mainly divided into the following stages: video segmentation, target detection, background extraction, background deletion, and summary completion.
Answer: A
NEW QUESTION # 37
Which of the following is not a feature of a Kunpeng processor?
Answer: A
Explanation:
The correct answer is C because the Kunpeng processor is characterized by ARM-based RISC design, multi- core capability, low power consumption, and high integration, but not by a closed architecture . The material describes Kunpeng's strengths by stating that "The ARM architecture is used so that the same function performance occupies a smaller area of the chip, consumes less power, and are highly integrated. More hardware CPU cores are provided for better concurrent processing" and further notes that "The RISC instruction set is used. The instruction length is fixed, the addressing mode is flexible and simple, and the execution efficiency is high" . These statements directly support options A, B, and D .
From an engineering perspective, ARM-based processors are known for compact instruction design, strong concurrency through many CPU cores, and high performance per watt. Those are exactly the attributes highlighted here. By contrast, "closed architecture" is not presented as a Kunpeng feature in the training material and does not align with Huawei's ecosystem positioning, which emphasizes compatibility across multiple operating systems and application scenarios from IoT to cloud. Therefore, C is the only option that does not describe the Kunpeng processor.
NEW QUESTION # 38
The IVS3800 and CloudIVS 3000 can be deployed in the same cluster, but the CloudIVS 3000 can serve only as a service node.
Answer: B
Explanation:
In Huawei's intelligent video surveillance architecture, the IVS3800 and CloudIVS 3000 represent different tiers of the platform but share a compatible underlying software-defined framework. The IVS3800 is often deployed as a foundational or management node in smaller to medium-sized clusters, whereas the CloudIVS
3000 is designed for large-scale cloud-based environments. While the two systems are interoperable and can be integrated within a unified cluster environment to ensure resource sharing and centralized management, there are specific functional roles assigned to each.
Specifically, when these systems coexist in a hybrid cluster, the CloudIVS 3000 typically functions in a capacity-extension role. According to the technical deployment standards, the IVS3800 and CloudIVS 3000 can be deployed in the same cluster, but the CloudIVS 3000 can serve only as a service node . This means that while the IVS3800 can handle management tasks, database operations, and service logic, the CloudIVS 3000 nodes are primarily utilized for their heavy-duty media processing and storage capabilities (service tasks). This hierarchical arrangement allows for flexible scaling, where users can add CloudIVS nodes to increase the total channel count and storage capacity of an existing IVS3800 infrastructure without overcomplicating the management plane.
NEW QUESTION # 39
Which of the following types of upper and lower domains can be configured with algorithm collaboration functions?
Answer: B
NEW QUESTION # 40
In video analysis, if you want to obtain the trajectory of the target object, you can track the moving object and record the center of mass of the moving object to connect all the center of mass to form the trajectory of the moving object.
Answer: A
NEW QUESTION # 41
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