Huawei H12-521_V1.0 Actual Questions

The correct answers are A, C, and D because the documents prepared before IVS low-level design are the input materials used for design, deployment generation, and parameter definition, while the LLD report is an output of the LLD activity itself. The material emphasizes that network planning must be completed in advance, and the deployment process requires predefined addressing and parameter information. This is consistent with statements such as determining the network segment and IP address range for each network plane before deployment, and with the repeated use of fixed external service and management IP planning in domain and cluster configuration workflows .

From an engineering workflow perspective, the network plan file is required because network segments, IP ranges, and live-network planning must be decided in advance. A project configuration file is also needed because it carries deployment-specific parameters for the project. A JSON file is typically used as a structured import or export artifact generated by design tools and then consumed during planning or deployment preparation. However, the LLD report is not a prerequisite input document; it is the design deliverable produced after engineers complete the LLD work. Therefore, the required pre-LLD preparation documents are A, C, and D .

The correct answers are A, C, and D because cloud-edge synergy is defined as collaboration between a central platform and lightweight edges or other upper- and lower-level cloud domains. The material states that “Cloud-edge synergy: collaboration between the central platform and lightweight edges or other upper- and lower-level domains deployed on clouds” while separately identifying “Multi-camera Collaboration: Multiple cameras collaborate to identify same image” . This distinction is decisive: option B belongs to multi-camera collaboration, not cloud-edge synergy.

In practical JVS deployment, cloud-edge synergy includes centralized task orchestration, algorithm lifecycle management, and cross-domain resource coordination. That is why delivering vehicle alert tasks downward to lower-level platforms fits the model, and why centrally loading, upgrading, or replacing algorithms on upper- and lower-level platforms also fits. Likewise, when the upper-level platform applies for edge-side resources to perform intelligent analysis on video or images, it is using distributed resource collaboration, which is a classic cloud-edge function. Option B is excluded because it describes camera-to-camera cooperative recognition rather than platform-to-edge coordination. Therefore, the valid cloud-edge synergy scenarios are A, C, and D .

Camera cycling, also known as round-robin viewing, is a feature in the intelligent vision system that allows a set of video panes to automatically rotate through different camera feeds at a specified interval. This is a common practice in security monitoring rooms to allow a limited number of monitors to cover a much larger number of cameras.

According to the system logic for the iClient and IVS platform, the cycling function is designed to refresh the content of the active panes. If the number of cameras selected is equal to or less than the number of available video panes, the display remains static because every camera can be shown simultaneously without the need for rotation. To trigger the "cycling" mechanism, the number of cameras in the resource group must exceed the number of panes currently displayed on the screen. Therefore, if you have configured six video panes for camera cycling, you need to select at least 7 cameras so that the system has a "surplus" camera to rotate into one of the panes when the interval timer expires. This ensures that the surveillance personnel see every camera in the group over a period of time, fulfilling the purpose of the round-robin service.

The correct answer is D because the iris directly controls the amount of light entering the lens, which has the most immediate effect on image brightness. When the iris opening is enlarged, more light reaches the image sensor, and the captured image becomes brighter. This makes iris adjustment the preferred action when the goal is simply to improve overall brightness. By contrast, resolution affects image detail, not light intake. Angle of view changes scene coverage, not exposure level. Focal length changes magnification and framing, but it does not function as the primary exposure control in this context.

This aligns with the exposure-centered logic emphasized throughout the training material, where Huawei highlights advanced imaging control and notes that “T-Shot, Huawei’s patented exposure technology, enables optimal imaging of targets and vehicles at the same time” and that traditional exposure methods cannot properly expose different targets in one image . In practical camera operation, brightness problems are first treated as an exposure issue, and among the listed options, the iris is the only parameter that directly regulates exposure by controlling incoming light.