HCIP-Intelligent Vision V1.0 actual questions - H12-521_V1.0 torrent pdf - HCIP-Intelligent Vision V1.0 training vce

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Huawei H12-521_V1.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deployment and Configuration25%-30%- Service Configuration
  • 1. Camera Access
  • 2. Video Management
- System Deployment
  • 1. Device Initialization
  • 2. Platform Installation
Topic 2: Operations and Maintenance10%-15%- Troubleshooting
  • 1. Common Fault Handling
  • 2. Performance Optimization
- System Maintenance
  • 1. Log and Fault Analysis
  • 2. Alarm Management
Topic 3: Intelligent Vision Products and Solutions20%-25%- Huawei Intelligent Vision Hardware
  • 1. Cameras and Front-end Devices
  • 2. Storage and Management Platforms
- Solution Components
  • 1. System Functions
  • 2. Platform Architecture
Topic 4: Intelligent Vision Overview5%-10%- Industry Intelligent Vision Concepts
  • 1. Intelligent Vision Architecture
  • 2. Application Scenarios
Topic 5: AI Algorithms and Intelligent Applications20%-25%- Industry Applications
  • 1. Smart City
  • 2. Smart Campus
- AI Capabilities
  • 1. Behavior Analysis
  • 2. Face Recognition

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q61-Q66):

NEW QUESTION # 61
Based on which of the following functions of the intelligent vision platform, can real-time capture and statistics of pedestrians, non-motorized vehicles and motor vehicles at a certain intersection?

Answer: C


NEW QUESTION # 62
Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.

Answer:

Explanation:

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.


NEW QUESTION # 63
Regarding the wiring method, which of the following descriptions is correct? (Multiple choice)

Answer: A,C


NEW QUESTION # 64
The () function of the ball camera can ensure that the camera automatically returns to the preset position after manual operation.

Answer: D


NEW QUESTION # 65
By turning on the () function, you can monitor the abnormal jitter, noise and other phenomena of the video screen in a specific area, and at the same time, you can report an alarm to the platform.

Answer: C


NEW QUESTION # 66
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