The Open Network Video Interface Forum (ONVIF) provides a standardized framework for the interoperability of IP-based physical security products. These standards are organized into specific "Profiles" that define the features supported by devices and clients. Standard interfaces such as ONVIF are used to connect cameras to the IVS platform, facilitating a future-proof ecosystem where hardware from different vendors can communicate seamlessly.

Among the recognized standards, Profile S is the most common, used for basic video streaming and configuration. Profile T is a more modern standard designed for advanced video streaming, specifically supporting H.265 encoding and metadata reporting. Profile A is utilized for broader access control configurations, allowing for the integration of security management systems. Other profiles include Profile G for edge storage and Profile Q for quick installation. However, Profile B is not a recognized ONVIF standard profile. Adhering to these standardized formats ensures that recording streams can be accessed through external interfaces and that the system provides a channel for reporting metadata (structured data) for exchange with the platform, regardless of the underlying hardware differences.

The correct answers are A, B, and C . The login-address logic is consistent with Huawei platform addressing rules. The material states that when a service is deployed in clustered form, the floating IP must be used, for example: “If the BMU is deployed in two-node cluster mode, enter the external service floating IP address of the BMU” . That directly supports the cluster half of A , and the corresponding single-node logic uses the normal external service address rather than a floating address.

The iClient also works across multiple Huawei platform products, which is why product selection during login is required in practice. In addition, the inter-platform relationship must be established before intelligent analysis services can be configured in platform mode. The material explicitly states “Before connecting two domains with each other, configure the local domain code and external domain information on platforms in both domains” . This directly supports C and also proves why D is false: the connection is not configured only on the iClient; it must be configured on the involved platforms themselves. Therefore, A, B, and C are the correct statements.

1 + N → Sends video streams from generic cameras to intelligent cameras and performs real-time intelligent analysis on the video to embed intelligence into generic cameras.

T-shot engine → Uses framing technology to detect targets and license plates on images at the same time, improving the snapshot accuracy at night.

SuperColor → Helps capture full-color images in low light conditions.

Scene adaptation → Automatically identifies various scenes such as backlight, low light, and rainy/overcast scenes and optimizes images accordingly.

The matching is determined directly from the intelligent camera feature definitions. The 1 + N function is the primary-secondary camera observation capability, where “a single intelligent camera can connect to N generic cameras on a live network, request streams from these cameras, and perform intelligent analysis on the streams”

so it matches the description about embedding intelligence into generic cameras.

The T-shot engine corresponds to the snapshot-related description because the material states that “M-Q and X-H series omni-data structuring cameras support T-Shot snapshot engine” and explains that “T-Shot, Huawei's patented exposure technology, enables optimal imaging of targets and vehicles at the same time” . That fits target and license plate capture in the same image.

Scene adaptation matches the description about identifying backlight, low light, and rainy or overcast scenes because the material states that AI chips “identify the weather and illumination conditions at different time points in the observation scenario, and then automatically adjust the image settings”

The remaining feature, SuperColor , therefore matches full-color imaging in low-light conditions.

The correct answer is A because video site planning follows a logical engineering sequence: first determine where the site should be deployed, then perform a detailed site survey , and finally complete device selection planning based on the confirmed environmental and construction conditions. The material first lists typical site selection targets such as “Road intersections and entrances and exits” and “Key areas in cities” , which clearly corresponds to site selection planning. It then moves into survey items such as “Environment survey” , “Power supply” , and “Construction conditions” , showing that the survey is performed after the preliminary site location is determined and before final device planning is completed

This sequence is consistent with actual project practice. A project team cannot choose appropriate poles, anti-corrosion levels, cameras, power schemes, or transmission methods until the physical environment has been checked. For example, the survey determines whether the site is near the sea, whether mains power is stable, and whether enough construction space is available. Those findings directly affect the final device model and solution design. Therefore, the correct process is video site selection planning → video site survey → video site device selection planning .

The correct answers are A, C, and D . In IVS3800 architecture, the distinction between management nodes and service nodes is based on whether the node carries the platform’s management container set, especially the CSPOM role. A management node is the server that contains the management component, while a service node is the server that does not contain that management component and instead focuses on service workloads. This is why C and D are correct from the node-role definition perspective.

The cluster nature of the management role is also consistent with the platform design. The training material repeatedly refers to BMU and management addressing in two-node cluster mode , for example: “If the BMU is deployed in two-node cluster mode, enter the external service floating IP address of the BMU” and similarly references external management floating IP handling for clustered upper-level nodes . This reflects that the management layer is designed around clustered high-availability deployment, supporting A . By contrast, B is not accepted because an IVS3800 system made up of only management nodes would lack the service-bearing nodes needed to deliver actual intelligent vision workloads. Therefore, A, C, and D are the correct statements.

The IVS3800 is a versatile intelligent video surveillance platform that can be configured for various roles, including storage, management, and intelligent analysis. To perform high-performance intelligent target or vehicle analysis—such as extracting features from video or images—the system requires dedicated computing resources beyond standard CPU capabilities. According to the technical specifications of the IVS3800 (specifically models like the IVS3800C), the hardware must be configured with an AI accelerator card , specifically the Ascend accelerator card.

For instance, a standard IVS3800C configuration for vehicle analysis in the Chinese mainland supports 360 channels in video mode when installed with six Ascend accelerator cards. These cards provide the "ultimate computing power" necessary for neural network-based processing, such as object classification and attribute recognition. While NVMe cards and SAS/SATA disks are used for high-speed cache and mass storage respectively, they do not provide the specialized AI inference logic required for data structuring. Therefore, the AI accelerator card is the mandatory component for enabling intelligent analysis functions on the IVS3800 platform.

The correct answer is B because switching the secondary stream type is a stream configuration task, not an image-adjustment operation in the PTZ dome camera web interface. During image adjustment, the operator typically works with live-view and framing tools, such as directional control, local inspection, and capture assistance. That is why operations such as using a virtual joystick to move the PTZ direction, taking snapshots , and performing ePTZ for local image inspection fit naturally into image adjustment behavior.

The broader training content confirms that PTZ control belongs to live-view operation, stating that users can “perform PTZ controls … for example, control the PTZ direction, set PTZ preset positions, and set the home position” . That supports directional adjustment as a valid operation. A snapshot is also a live-view support function, while ePTZ is commonly used for image observation and local enlargement. However, secondary stream type belongs to video stream configuration, such as choosing or modifying stream properties, and is not part of direct image-adjustment handling. Therefore, the option that cannot be performed in image adjustment is B .