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| Section | Weight | Objectives |
|---|
| Video Site Service Commissioning | 5% | - Performance optimization - Service function verification - Image quality debugging
|
| 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% | - Video big data processing technologies - Structured data and metadata management - Big data analysis and application scenarios
|
| Intelligent Vision System Planning and Design | 15% | - System architecture and component planning - Capacity and performance design - Reliability and security design
|
| Intelligent Vision System Installation and Configuration | 15% | - Platform hardware and software deployment - Service module deployment and activation - System networking and parameter configuration
|
| Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Interconnection solutions in intelligent security - Video database technical specifications
|
| Video Site Installation and Configuration | 18% | - Network and parameter configuration - Access and interconnection configuration - Camera and peripheral installation
|
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance procedures - Fault location and recovery - Common faults and handling
|
| Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent algorithm principles - Algorithm deployment and application modes
|
| Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies
|
| Intelligent Vision System Service Commissioning | 8% | - Basic service commissioning - System linkage and scheduling verification - Intelligent analysis service commissioning
|
| Video Site Planning and Design | 10% | - Equipment selection and configuration planning - Transmission and power supply design - Site selection and coverage 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
|
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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q25-Q30):
NEW QUESTION # 25
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 # 26
A certain urban area needs to deploy a batch of video sites for road security, target recognition, vehicle management, etc. Regarding the selection of rods and network equipment for video sites, which of the following selections meet the requirements? (Multiple choice)
- A. Target recognition rods, switch access
- B. Use the old pole, router access
- C. Use the old traffic station rods and switch access
- D. Vehicle bayonet lever GP ON
Answer: A,C
NEW QUESTION # 27
Which of the following best describes the primary-secondary camera observation function also called 1 + N?
- A. One intelligent camera can only analyze its own local video stream.
- B. One intelligent camera connects to multiple generic cameras and performs intelligent analysis on their streams.
- C. One generic camera connects to multiple intelligent cameras for storage expansion.
- D. Multiple intelligent cameras connect to one PTZ camera for panoramic tracking.
Answer: B
Explanation:
The correct answer is B because the 1 + N function is designed to extend intelligent analysis capability to existing non-intelligent cameras without replacing them. This is one of Huawei's practical upgrade approaches for legacy surveillance systems. The material states that "With the proprietary 1 + N technology, a single intelligent camera can connect to N generic cameras on a live network, request streams from these cameras, and perform intelligent analysis on the streams" This directly matches option B .
From a solution-design standpoint, this function is highly valuable in reconstruction projects where the existing camera network is still usable but lacks intelligent features such as target capture or vehicle recognition. Instead of replacing all cameras, one intelligent camera can act as the analysis point for several generic cameras, reducing upgrade cost and deployment complexity. Option A is wrong because the function is not for storage expansion. Option C incorrectly changes the relationship into intelligent-camera-to-PTZ cooperation. Option D is also wrong because the whole purpose of 1 + N is to analyze additional external streams, not just the local one. Therefore, B is the correct answer.
NEW QUESTION # 28
The central cloud platform uses the Huawei Cloud stack solution. Which of the following descriptions of the virtualization components in the Huawei Cloud stack is incorrect?
- A. VRM provides a management portal for administrators
- B. CNA provides computing resources for virtual machines
- C. CNA can manage cluster network, storage, and computing resources
- D. VRM can run on CNA, or it can be deployed on a separate physical machine
Answer: C
NEW QUESTION # 29
Algorithm collaboration does not support two intelligent vision platforms as upper and lower algorithm warehouses for each other. For example the configuration A docking platform superior B Algorithm Storage platform cannot then B internet subordinate algorithm as warehouses, docking A method warehouse platform.
Answer: A
NEW QUESTION # 30
......
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