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Huawei H12-521_V1.0 Exam Syllabus Topics:

SectionWeightObjectives
Intelligent Vision System Service Commissioning8%- System linkage and scheduling verification
- Basic service commissioning
- Intelligent analysis service commissioning
Principle and Application of Intelligent Video Algorithm3%- Algorithm deployment and application modes
- Common intelligent algorithm principles
Intelligent Vision System Installation and Configuration15%- Platform hardware and software deployment
- System networking and parameter configuration
- Service module deployment and activation
Technical Principle and Application of Intelligent Camera5%- Typical application scenarios
- Core technologies: SuperColour, T-Shot, high-density capture
- Basic principles of intelligent cameras
Video Interconnection Technology Standard and Application3%- Interconnection solutions in intelligent security
- Mainstream video interconnection protocols
- Video database technical specifications
Video Site Planning and Design10%- Equipment selection and configuration planning
- Site selection and coverage planning
- Transmission and power supply design
Video Site Installation and Configuration18%- Network and parameter configuration
- Camera and peripheral installation
- Access and interconnection configuration
Technical Principle and Application of Video Cloud5%- Video cloud service applications
- Cloud-edge collaboration technologies
- Video cloud architecture and features
Intelligent Vision System Maintenance and Troubleshooting4%- System monitoring and management
- System backup and recovery
- Common faults and solutions
Intelligent Vision System Planning and Design15%- Capacity and performance design
- System architecture and component planning
- Reliability and security design
Video Site Maintenance and Troubleshooting5%- Fault location and recovery
- Common faults and handling
- Daily maintenance procedures
Technical Principle and Application of Video Big Data4%- Video big data processing technologies
- Big data analysis and application scenarios
- Structured data and metadata management
Video Site Service Commissioning5%- Image quality debugging
- Service function verification
- Performance optimization

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which of the following statements about camera access are correct? (Multiple choice)

Answer: A,B


NEW QUESTION # 54
Which of the following statements about the supporting equipment of the electric police bayonet camera is wrong?

Answer: A


NEW QUESTION # 55
Regarding the replacement of parts, which of the following descriptions is correct? (Multiple Choice)

Answer: A,B,C,D


NEW QUESTION # 56
Which of the following features can provide perfect exposure for an object in backlight scenarios?

Answer: C

Explanation:
The correct answer is A because Backlight Compensation (BLC) is the feature specifically intended to improve foreground object exposure when strong light is coming from behind the subject. In a backlight scene, the background is much brighter than the target, so the camera's default exposure logic may darken the object and make it difficult to identify. BLC corrects this by increasing exposure priority on the foreground region so the object can be seen more clearly.
This aligns with the exposure-focused design philosophy in the material, where Huawei emphasizes advanced exposure optimization. The document notes that "T-Shot, Huawei's patented exposure technology, enables optimal imaging of targets and vehicles at the same time" and explains that traditional exposure methods cannot correctly expose different objects within the same image under challenging conditions . In ordinary camera feature terminology, the standard function used for a backlit foreground target is BLC. By contrast, white balance adjusts color temperature, HLC suppresses excessively bright highlights such as headlights, and high resolution only increases detail, not exposure correction. Therefore, the correct feature for backlight object exposure is BLC .


NEW QUESTION # 57
The ONVIF protocol describes the network video model, interface, data type, and data interaction. The goal is to solve the interoperability between IP network-based security products (cameras, VMS, etc.).

Answer: B


NEW QUESTION # 58
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