Exam Huawei H12-521_V1.0-ENU Format | Test H12-521_V1.0-ENU Questions Vce

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| Section | Weight | Objectives |
|---|
| Topic 1: AI Algorithms and Intelligent Applications | 20%-25% | - AI Capabilities
- 1. Face Recognition
- 2. Behavior Analysis
- Industry Applications
- 1. Smart Campus
- 2. Smart City
|
| Topic 2: Intelligent Vision Products and Solutions | 20%-25% | - Solution Components
- 1. Platform Architecture
- 2. System Functions
- Huawei Intelligent Vision Hardware
- 1. Cameras and Front-end Devices
- 2. Storage and Management Platforms
|
| Topic 3: Intelligent Vision Overview | 5%-10% | - Industry Intelligent Vision Concepts
- 1. Application Scenarios
- 2. Intelligent Vision Architecture
|
| Topic 4: Operations and Maintenance | 10%-15% | - Troubleshooting
- 1. Performance Optimization
- 2. Common Fault Handling
- System Maintenance
- 1. Alarm Management
- 2. Log and Fault Analysis
|
| Topic 5: Deployment and Configuration | 25%-30% | - Service Configuration
- 1. Camera Access
- 2. Video Management
- System Deployment
- 1. Platform Installation
- 2. Device Initialization
|
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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q55-Q60):
NEW QUESTION # 55
What can effectively compensate for the dark defect of the main body of the picture when the camera is shooting in a backlight environment.
- A. White balance
- B. Noise reduction
- C. Backlight compensation
- D. Strong light suppression
Answer: C
NEW QUESTION # 56
Which of the following methods can be used to fix the issue of images appearing dark in backlit scenarios?
- A. Increase the field of view FoV
- B. Enable wide dynamic range WDR
- C. Enable highlight compensation HLC
- D. Increase the focal length
Answer: B
Explanation:
The correct answer is A because WDR is the standard method for handling scenes with strong contrast between bright background light and a darker foreground target. In a backlit scenario, the camera must balance very bright and very dark regions at the same time. If this is not handled correctly, the foreground subject appears too dark. WDR addresses exactly this problem by improving detail retention in both bright and dark parts of the scene.
This is consistent with the exposure principle emphasized in the material, which states that "T-Shot, Huawei' s patented exposure technology, enables optimal imaging of targets and vehicles at the same time" and explains that "Traditional exposure technology cannot correctly expose targets, motor vehicles, and non- motorized vehicles in one image" . That same engineering logic is what makes WDR the right correction for backlit darkness. By contrast, HLC is mainly used to suppress overly bright highlights such as headlights, not to brighten a dark foreground in a backlit scene. FoV and focal length affect framing and magnification, not dynamic-range correction. Therefore, A is the correct answer.
NEW QUESTION # 57
If the solar photovoltaic module bracket is corroded and rusted, it can be replaced when the solar photovoltaic module is damaged.
Answer: B
NEW QUESTION # 58
Which statement about intrusion detection is correct?
- A. Count the number of people who passed in the designated area
- B. Detect whether there is a target staying or wandering in the designated area
- C. Detect whether there are intrusions from outsiders in the designated area
- D. Detect whether there is a target running higher than the set speed value in the designated area
Answer: C
NEW QUESTION # 59
Video structuring can extract feature information such as the type, brand, and color of the vehicle target in the video.
Answer: A
NEW QUESTION # 60
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