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    Question

    Which of the following is an example of a key

    characteristic of the Internet of Things (IoT)?
    A Localized Data Storage Correct Answer Incorrect Answer
    B Device Interconnectivity Correct Answer Incorrect Answer
    C Dependence on Centralized Servers Correct Answer Incorrect Answer
    D Human-to-Computer Interaction Correct Answer Incorrect Answer
    E Manual Data Processing Correct Answer Incorrect Answer

    Solution

    The Internet of Things (IoT) refers to the network of physical devices embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet. Device interconnectivity is a fundamental feature of IoT, as it enables seamless communication between diverse devices such as smart home appliances, wearables, cars, and industrial machinery.

    • Why It Is Important: The ability of devices to communicate autonomously creates a smart environment, enabling automation, efficiency, and real-time decision-making. For instance, a smart thermostat can adjust the temperature based on data from motion sensors, or smart traffic lights can adjust the flow of vehicles based on real-time data from sensors embedded in the road.
    • Real-World Example: Smart homes where devices like thermostats, lights, security cameras, and door locks are interconnected to enhance user convenience and energy efficiency.
    Why Other Options Are Incorrect:
    • Localized Data Storage: While some IoT devices may store data locally, the primary feature of IoT is cloud-based data exchange and analysis, not just local storage.
    • Dependence on Centralized Servers: IoT devices are often decentralized, with data being processed either at the device level (edge computing) or in the cloud, rather than relying solely on centralized servers.
    • Human-to-Computer Interaction: IoT primarily focuses on machine-to-machine (M2M) interaction rather than direct human-to-computer interaction.
    • Manual Data Processing: IoT systems are designed to automate data collection, analysis, and decision-making, reducing the need for manual intervention.

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