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.

The correct answer is B because Lite Edge is designed as a container-based edge computing architecture that emphasizes service deployment, compute scheduling, and lightweight resource orchestration, rather than a storage-only deployment. The material explains that “The CSP and CSP Edge adopt a unified architecture to support the Central Cloud and Lite Cloud respectively” and further states that “The Lite Cloud integrates with the HASEN to implement container resource management and deployment” and “The container-based Lite Edge can schedule only CPU resources of single-node systems” . This makes it clear that compute capability is fundamental to Lite Edge scenarios.

From a solution-design perspective, Lite Edge can be deployed in integrated or combined modes, such as a fusion server or combinations involving compute and search , because intelligent services require application execution and scheduling resources. A storage-only server does not fit that functional model, since storage by itself cannot deliver edge-side intelligent service processing, search handling, or containerized application deployment. Therefore, while integrated and multi-role server combinations are valid Lite Edge configuration ideas, a standalone storage server is not considered a Lite Edge configuration scenario.

The correct answer is B. FALSE . The installation guidance for strobe lights in the material focuses on orientation and illumination angle , not on a fixed rule that they must be installed on both sides of the checkpoint camera and more than 2 meters away. The document states that “Strobe light: provides light compensation at night to clearly capture license plates and pedestrians” and further emphasizes that “The strobe light and flash light cannot be installed upside down. The cable outlet must be vertically at the bottom” and “It is recommended that a certain angle be formed between the strobe light or flash light and the lane to avoid excessive exposure of license plates caused by direct illumination”

This means the critical design requirement is to avoid direct reflective glare and overexposure by controlling the installation angle relative to the lane. The statement in the question adds rigid conditions such as both sides installation and a distance of more than 2 m , but those are not established in the cited training guidance. Since the PDF does not define those conditions as universal requirements, the statement is inaccurate as written.

The correct answers are A, C, and D because camera upgrade operations in the intelligent vision environment include license-related activation , algorithm package upgrade , and software version upgrade , but do not include simply resetting a camera. The material explains that apps on the intelligent camera platform can be “installed, activated, upgraded, and uninstalled online” and that the App Manager “installs, activates, monitors, and upgrades intelligent apps” . It also states that end users can install RPM software packages on SDCs and that “users need to purchase a license file … and load the license file on the SDC” for chargeable apps. This directly supports license loading and algorithm package upgrade as part of operational upgrade handling.

In addition, software version upgrade is a standard maintenance activity, and the material explicitly references upgrade behavior, including “During upgrade within the power module” and version-upgrade scenarios that require recalibration after software changes. Resetting a camera, however, is a recovery or configuration action, not an upgrade action. Therefore, the valid upgrade operations are A, C, and D .

The Software Development Kit (SDK) protocol serves as a powerful interface for third-party applications to manage and interact with Huawei's intelligent vision devices. It offers a comprehensive range of functionalities that cover the entire lifecycle of device operation and security management. Basic features supported include live video viewing, where the SDK client sends a live video viewing request to the camera, as well as voice intercom and broadcast capabilities for two-way communication. It also provides granular control over device hardware, such as Pan-Tilt-Zoom (PTZ) operations and the modification of various parameter settings.

Beyond basic management, the SDK is deeply integrated with the system's intelligent capabilities. It supports security deployment and withdrawal, allowing users to activate or deactivate alarm monitoring remotely. Specifically, before invoking the alert deployment and withdrawal function, you need to invoke the alarm reporting callback function. Once deployed, the system can report a wide variety of intelligent analysis results, including motion detection, tripwire crossing detection, and loitering detection. This makes the SDK a versatile and essential tool for developers building integrated security solutions that require both standard device management and advanced intelligent vision analytics.

The correct answers are A, B, C, and D because a proper solar PV module check must cover both the module condition and the mechanical support condition . A damaged panel can reduce charging efficiency or create safety risks. Dirt, oil stains, dust, or snow on the panel surface can block sunlight and reduce power-generation performance. At the same time, the support structure must be checked for corrosion, rust, and stability , because outdoor PV assemblies are continuously exposed to weather, vibration, and environmental aging.

This conclusion is also consistent with the overall site-power design described in the training material, where Huawei’s integrated site solution includes “PV modules: two PV modules” and uses “SolarMax, and GridMax technologies to maximize energy efficiency of solar energy and mains and provide secure and reliable power supply” . Since PV modules are part of the site power system, both energy-conversion efficiency and structural reliability must be maintained. In actual maintenance practice, a clean, intact, and firmly supported PV module is necessary for stable long-term operation. Therefore, all four listed checks are valid and should be included.

In Huawei's intelligent video surveillance architecture, the IVS3800 and CloudIVS 3000 represent different tiers of the platform but share a compatible underlying software-defined framework. The IVS3800 is often deployed as a foundational or management node in smaller to medium-sized clusters, whereas the CloudIVS 3000 is designed for large-scale cloud-based environments. While the two systems are interoperable and can be integrated within a unified cluster environment to ensure resource sharing and centralized management, there are specific functional roles assigned to each.

Specifically, when these systems coexist in a hybrid cluster, the CloudIVS 3000 typically functions in a capacity-extension role. According to the technical deployment standards, the IVS3800 and CloudIVS 3000 can be deployed in the same cluster, but the CloudIVS 3000 can serve only as a service node . This means that while the IVS3800 can handle management tasks, database operations, and service logic, the CloudIVS 3000 nodes are primarily utilized for their heavy-duty media processing and storage capabilities (service tasks). This hierarchical arrangement allows for flexible scaling, where users can add CloudIVS nodes to increase the total channel count and storage capacity of an existing IVS3800 infrastructure without overcomplicating the management plane.

During the commissioning and operation of video surveillance clients, such as the iClient, maintaining optimal playback performance is vital for accurate observation. A common technical recommendation is to avoid superimposing the video pane playing live video with the window or dialog box of another program . This is because the video decoding and rendering process on a PC involves high-frequency data transfer between the CPU/GPU and the screen buffer. When another application's window is placed over the active video pane, the computer's graphics subsystem must constantly recalculate which pixels to display, often leading to artifacts or video stuttering .

This phenomenon is especially prevalent when viewing high-resolution streams (such as 4K or 1080p) or when the client is handling multiple concurrent video windows. Overlapping windows can disrupt the hardware acceleration pathways, forcing the system to rely on software rendering, which significantly increases latency. To ensure a smooth "UHD video viewing" experience and to maintain the integrity of the visual data—which is necessary for identifying targets or verifying alarms—users should keep the video interface clear of obstructions. This best practice ensures that the frames are rendered sequentially and clearly, preventing the loss of critical detail during real-time monitoring.