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| Section | Weight | Objectives |
|---|---|---|
| Video Site Installation and Configuration | 18% | - Network and parameter configuration - Access and interconnection configuration - Camera and peripheral installation |
| Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies |
| Intelligent Vision System Installation and Configuration | 15% | - Service module deployment and activation - System networking and parameter configuration - Platform hardware and software deployment |
| Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent algorithm principles - Algorithm deployment and application modes |
| Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - Basic service commissioning - System linkage and scheduling verification |
| Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions in intelligent security - Mainstream video interconnection protocols - Video database technical specifications |
| Video Site Service Commissioning | 5% | - Performance optimization - Image quality debugging - Service function verification |
| 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 Intelligent Camera | 5% | - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios - Basic principles of intelligent cameras |
| Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Common faults and handling - Daily maintenance procedures |
| Video Site Planning and Design | 10% | - Site selection and coverage planning - Equipment selection and configuration planning - Transmission and power supply design |
| Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System backup and recovery - System monitoring and management |
| Technical Principle and Application of Video Big Data | 4% | - Structured data and metadata management - Video big data processing technologies - Big data analysis and application scenarios |
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NEW QUESTION # 30
What are the commonly used network equipment in data centers? (Multiple choice)
Answer: A,B,C,D
NEW QUESTION # 31
Sites that use solar power supply do not need to connect to the mains. This solution is widely used in the main urban area.
Answer: B
Explanation:
The correct answer is B. FALSE . A solar-powered site may indeed reduce or eliminate dependence on mains in some deployment scenarios, but it is not accurate to say that this solution is widely used in the main urban area . In urban site planning, the material emphasizes checking whether mains is available , whether it is stable, and whether outages occur frequently, which shows that urban deployments are generally expected to have grid access and that power design is centered around existing mains conditions . The document also describes integrated power solutions using both solar energy and mains through technologies that
"maximize energy efficiency of solar energy and mains and provide secure and reliable power supply" From a planning perspective, pure solar solutions are more suitable where mains is unavailable, difficult to access, or unreliable, such as remote roads, islands, or isolated outdoor sites. Main urban areas usually already have grid infrastructure, making standalone solar less common as the default design choice. Urban systems more often use mains-based or hybrid schemes for reliability, maintenance convenience, and continuous service assurance. Therefore, the statement is false because the phrase "widely used in the main urban area" is inconsistent with the planning logic presented in the material.
NEW QUESTION # 32
When installing the VA- type intelligent algorithm plug- in on the intelligent vision platform, which type of algorithm needs to be configured with additional license channels to ensure that the algorithm can be used normally?
Answer: A
NEW QUESTION # 33
By supporting the use of PowerCube 500 and the intelligent network management system, fault alarms and real-time monitoring data can be reported to the upper-level network management.
Answer: A
NEW QUESTION # 34
Which of the following are cloud-edge synergy scenarios of Huawei JVS platforms?
Answer: A,B,C
Explanation:
The correct answers are A, C, and D because cloud-edge synergy is defined as collaboration between a central platform and lightweight edges or other upper- and lower-level cloud domains. The material states that
"Cloud-edge synergy: collaboration between the central platform and lightweight edges or other upper- and lower-level domains deployed on clouds" while separately identifying "Multi-camera Collaboration:
Multiple cameras collaborate to identify same image" . This distinction is decisive: option B belongs to multi-camera collaboration, not cloud-edge synergy.
In practical JVS deployment, cloud-edge synergy includes centralized task orchestration, algorithm lifecycle management, and cross-domain resource coordination. That is why delivering vehicle alert tasks downward to lower-level platforms fits the model, and why centrally loading, upgrading, or replacing algorithms on upper- and lower-level platforms also fits. Likewise, when the upper-level platform applies for edge-side resources to perform intelligent analysis on video or images, it is using distributed resource collaboration, which is a classic cloud-edge function. Option B is excluded because it describes camera-to-camera cooperative recognition rather than platform-to-edge coordination. Therefore, the valid cloud-edge synergy scenarios are A, C, and D .
NEW QUESTION # 35
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