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Huawei H12-521_V1.0-ENU Exam Syllabus Topics:

SectionWeightObjectives
Video Site Maintenance and Troubleshooting5%- Common faults diagnosis and resolution
- Daily maintenance methods and procedures
Intelligent Vision System Planning and Design15%- System architecture and solution design
- Platform and service planning
- Network and storage design
Intelligent Vision System Installation and Configuration12%- Access and management configuration
- System parameter configuration
- Platform software deployment
Intelligent Vision System Service Commissioning8%- System integration and interconnection
- Core service enabling and testing
Video Site Service Commissioning5%- Video service activation and verification
- Link and performance commissioning
Video Interconnection Technology Standard and Application3%- Interconnection solutions and implementation
- Mainstream interconnection protocols and standards
Video Site Installation and Configuration18%- Basic service configuration
- Camera installation and debugging
- Transmission and storage equipment deployment
Video Site Planning and Design10%- Power supply and transmission planning
- Site selection and coverage design
- Equipment selection and configuration
Technical Principle and Application of Video Big Data4%- Data storage and management technologies
- Video big data processing and analysis
Technical Principle and Application of Intelligent Camera5%- Basic principles of intelligent cameras
- Key technologies: Supercolour, T-shot, high-density capture
- Application scenarios of intelligent cameras
Technical Principle and Application of Video Cloud5%- Video cloud architecture and features
- Cloud-based video service deployment
Intelligent Vision System Maintenance and Troubleshooting7%- System monitoring and routine maintenance
- Platform and service fault handling
Principle and Application of Intelligent Video Algorithm3%- Algorithm application and deployment
- Common intelligent analysis algorithms

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q59-Q64):

NEW QUESTION # 59
The chip of the intelligent vision platform widely uses the ARM architecture. ARM is characterized by a multi-core architecture and a simplified instruction set, but it is not as good as the x86 architecture in terms of achieving computational efficiency optimization.

Answer: B


NEW QUESTION # 60
Before designing the intelligent vision platform LL.D, what materials do engineers need to prepare in advance? (Multiple choice)

Answer: B,C


NEW QUESTION # 61
The radar is placed right above the lane, and the detection direction is aligned with the position to be captured in the middle of the lane.

Answer: A

Explanation:
The correct answer is B. FALSE . The installation guidance in the material does confirm that radar is used in
"highway scenarios and accurate speed estimation scenarios" and includes alignment steps such as
"Adjust the bubble level. When the bubble is in the center, the radar is horizontal" . However, the statement is too absolute because it says the radar is placed right above the lane , which is not a general rule for radar deployment.
In real highway and checkpoint engineering, radar installation depends on the capture model, lane layout, pole position, and the coordination between radar and camera fields of view. The key requirement is that the detection area be aligned correctly with the intended capture zone, not that the radar must always be mounted directly above the lane center. Many practical deployments use side-mounted or offset positions on poles or beams so the radar can still cover the target lane accurately while matching the camera's observation geometry. Since the essential requirement is proper alignment with the capture area rather than mandatory overhead placement, the statement as written is inaccurate.


NEW QUESTION # 62
Huawei HiSilicon's old film 3519 supports both H265 and H264 encoding protocols.

Answer: B


NEW QUESTION # 63
Resource collaboration means that when the analysis resources of the upper-level domain IVS platform are tight, according to the business scenario, you can apply for the analysis resources of the lower-level domain or cross-level domain to perform intelligent analysis tasks based on video files.

Answer: B


NEW QUESTION # 64
......

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