Latest Huawei H12-521_V1.0 Questions - Proven Way To Pass Exam

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Huawei H12-521_V1.0 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Intelligent Vision System Planning and Design	15%	- Network and storage design - System architecture and solution design - Platform and service planning
Topic 2: Video Site Planning and Design	10%	- Equipment selection and configuration - Power supply and transmission planning - Site selection and coverage design
Topic 3: Video Site Service Commissioning	5%	- Link and performance commissioning - Video service activation and verification
Topic 4: Principle and Application of Intelligent Video Algorithm	3%	- Common intelligent analysis algorithms - Algorithm application and deployment
Topic 5: Technical Principle and Application of Video Cloud	5%	- Cloud-based video service deployment - Video cloud architecture and features
Topic 6: Technical Principle and Application of Intelligent Camera	5%	- Key technologies: Supercolour, T-shot, high-density capture - Basic principles of intelligent cameras - Application scenarios of intelligent cameras
Topic 7: Intelligent Vision System Service Commissioning	8%	- Core service enabling and testing - System integration and interconnection
Topic 8: Video Site Maintenance and Troubleshooting	5%	- Common faults diagnosis and resolution - Daily maintenance methods and procedures
Topic 9: Intelligent Vision System Maintenance and Troubleshooting	7%	- Platform and service fault handling - System monitoring and routine maintenance
Topic 10: Video Interconnection Technology Standard and Application	3%	- Mainstream interconnection protocols and standards - Interconnection solutions and implementation
Topic 11: Video Site Installation and Configuration	18%	- Camera installation and debugging - Transmission and storage equipment deployment - Basic service configuration
Topic 12: Intelligent Vision System Installation and Configuration	12%	- Platform software deployment - System parameter configuration - Access and management configuration
Topic 13: Technical Principle and Application of Video Big Data	4%	- Data storage and management technologies - Video big data processing and analysis

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q15-Q20):

NEW QUESTION # 15
IVS3800 realizes the unified management of the algorithm plug-ins of the whole network through the algorithm coordination feature, and ensures the consistency of the intelligent analysis data of the whole network. Which of the following are not part of the algorithmic synergy?

A. 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.
B. The upper-level algorithm warehouse can view the intelligent algorithm status of the entire network, and unified management of the entire network algorithm plug-in
C. The lower-level algorithm warehouse can obtain a unified and credible algorithm software version from the upper-level algorithm warehouse
D. The upper-level algorithm warehouse can control the maximum download bandwidth and the maximum number of concurrent downloads when the lower-level algorithm warehouse downloads the algorithm

Answer: A

NEW QUESTION # 16
Which of the following best describes the video synopsis function?

A. It converts all video into still images for faster storage.
B. It enlarges a target in live video for clearer playback.
C. It fuses target trajectories and background images to generate a compact video.
D. It only performs manual frame-by-frame search of recorded video.

Answer: C

Explanation:
The correct answer is B because video synopsis is designed to compress long-duration video into a shorter, information-dense presentation by extracting moving objects and reorganizing their activity over time. The material explains the workflow clearly: "Moving object detection involves algorithms such as background modeling, scene segmentation, and moving object extraction" , then "Object trajectory extraction involves object tracking algorithms such as TLD and KCF" , and finally "Generate a compact video.
That is, fuse the target trajectory set and background image into frames, and combine frames into video" This directly matches option B .
The same section also demonstrates the practical benefit by stating that "The video synopsis feature compresses the original 24-hour-long video into a 3.5-hour video" From an intelligent vision operations perspective, this greatly improves investigation efficiency because users can review suspicious activity faster without watching the full original recording. Option A describes local zoom behavior, not synopsis. Option C is incorrect because synopsis does not turn video into still images.
Option D is the opposite of synopsis, since synopsis reduces manual review effort rather than depending on it.

NEW QUESTION # 17
Which of the following scenarios are suitable for installing target recognition cameras? (Multiple choice)

A. Security Check Channel
B. Entrance and exit of the park and hall
C. Subway gate
D. Indoor corridors with sufficient light

Answer: A,B,C,D

NEW QUESTION # 18
When choosing the installation method of the camera, you can consider from the two dimensions of the installation environment and the camera type.

A. True
B. False

Answer: A

NEW QUESTION # 19
Video structuring can extract feature information such as the type, brand, and color of the vehicle target in the video.

A. True
B. False

Answer: A

NEW QUESTION # 20
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