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Huawei H12-521_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Video Site Service Commissioning | 5% | - Service function verification - Performance optimization - Image quality debugging |
| Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Cloud-edge collaboration technologies - Video cloud service applications |
| Intelligent Vision System Planning and Design | 15% | - Capacity and performance design - System architecture and component planning - Reliability and security design |
| Technical Principle and Application of Video Big Data | 4% | - Video big data processing technologies - Big data analysis and application scenarios - Structured data and metadata management |
| Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Common faults and handling - Daily maintenance procedures |
| Intelligent Vision System Maintenance and Troubleshooting | 4% | - System backup and recovery - Common faults and solutions - System monitoring and management |
| Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - Basic service commissioning - System linkage and scheduling verification |
| Video Site Installation and Configuration | 18% | - Network and parameter configuration - Camera and peripheral installation - Access and interconnection configuration |
| Video Site Planning and Design | 10% | - Site selection and coverage planning - Equipment selection and configuration planning - Transmission and power supply design |
| Intelligent Vision System Installation and Configuration | 15% | - Service module deployment and activation - System networking and parameter configuration - Platform hardware and software deployment |
| Video Interconnection Technology Standard and Application | 3% | - Video database technical specifications - Interconnection solutions in intelligent security - Mainstream video interconnection protocols |
| Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Technical Principle and Application of Intelligent Camera | 5% | - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios - Basic principles of intelligent cameras |
Huawei HCIP-Intelligent Vision V1.0 Sample Questions:
Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.
Correct Answer:
Explanation:
* CPU # Central processing unit
* GPU # Graphics processing unit
* FPGA # Field-programmable gate array
* NPU # Neural processing unit
The correct matching is based on the standard definitions of the four processor types used in intelligent vision architecture. A CPU is the central processing unit , which handles general-purpose control, logic execution, and system coordination. A GPU is the graphics processing unit , originally designed for graphics rendering but now widely used for parallel computing tasks. An FPGA is a field-programmable gate array , which can be reconfigured for specific hardware logic functions and is valuable in acceleration and low-latency processing scenarios. An NPU is a neural processing unit , specialized for AI inference and deep-learning operations.
In intelligent vision systems, these processors serve different but complementary roles. The CPU manages operating control and service orchestration. The GPU accelerates highly parallel workloads. The FPGA supports custom hardware logic and fast pipeline processing. The NPU is especially important for AI-based vision services because it is optimized for neural-network computation, target recognition, and inference efficiency. This processor division is fundamental in intelligent camera, edge, and cloud architecture, where workload specialization improves overall system performance and intelligence capability.
PoE++ complies with the IEEE802.3bt standard and its output power does not exceed ( ).
- A. 30 W
- B. 15.4 W
- C. 71W
- D. 50W
Correct Answer: C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
Which of the following best describes the video synopsis function?
- A. It only performs manual frame-by-frame search of recorded video.
- B. It converts all video into still images for faster storage.
- C. It enlarges a target in live video for clearer playback.
- D. It fuses target trajectories and background images to generate a compact video.
Correct Answer: D 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
Which of the following statements about T-Shot is correct?
- A. It is a protocol used for camera-to-platform interconnection.
- B. It is a video compression technology used to reduce storage usage.
- C. It is Huawei's patented exposure technology that enables optimal imaging of targets and vehicles at the same time.
- D. It is a storage mechanism used for structured data indexing.
Correct Answer: C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
If artifacts or video stuttering occur on live video due to unstable network conditions, you can enable the network adaptation function in the camera web system. After this function is enabled, the camera can adjust the bit rate automatically based on the onsite network status to ensure smooth live video.
Reveal Solution Discussion 0Correct Answer:
network adaptation
Explanation:
The correct answer is network adaptation . This function is used when live video quality is affected by unstable bandwidth, packet loss, or fluctuating network throughput. In that situation, the camera dynamically adjusts the stream bit rate to match current network conditions so that video transmission remains stable and smooth. The key logic in the question is the phrase that the camera can "adjust the bit rate automatically based on the onsite network status, to ensure smooth live video" , which directly corresponds to adaptive network-side stream control rather than image tuning, PTZ control, or exposure optimization.
From a technical perspective, artifacts and stuttering during live video are often caused by transport limitations rather than by optics or encoding settings alone. Huawei's live-view framework depends on continuous stream delivery, decoding, and display on the specified window . If the network becomes unstable, fixed-rate transmission may overload available bandwidth. Enabling network adaptation allows the camera to reduce or optimize the bit rate in real time, which improves continuity and reduces playback interruptions. Therefore, network adaptation is the correct function to enable.
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