Data analytics in IoT not only helps in understanding the data but also in ________ based on the insights.
- Encrypting
- Predicting
- Storing
- Transmitting
Data analytics in IoT not only helps in understanding the data but also in "Predicting" based on the insights. IoT data analytics uses historical and real-time data to identify patterns and trends, enabling predictions that can be valuable for decision-making and improving processes.
How does 5G technology primarily benefit the Internet of Things (IoT)?
- High Power Consumption
- Limited Device Connectivity
- Low Latency Communication
- Slow Data Transfer Speeds
5G's primary benefit for IoT is low latency, which ensures quick data transmission. This is crucial for real-time applications like remote surgery and autonomous vehicles.
Smart thermostats and smart locks are examples of:
- Agricultural tools
- Home automation devices
- Smartphones
- Wearable IoT devices
Smart thermostats and smart locks are examples of home automation devices. They are designed to make homes more efficient, comfortable, and secure. Smart thermostats help control the temperature of a home, while smart locks enhance security by allowing remote access control.
________ tools in IoT help stakeholders understand patterns and insights from large datasets.
- Data analytics
- Debugging
- Encryption
- Protocol
Data analytics tools in IoT are essential for analyzing large datasets generated by IoT devices. These tools provide stakeholders with insights into trends, patterns, and anomalies, which can be valuable for decision-making and optimization.
Over-the-Air (OTA) updates for IoT devices are essential for:
- Delivering bug fixes and feature enhancements remotely
- Ensuring the IoT device is always offline
- Managing IoT device security
- Reducing the initial cost of an IoT device
OTA updates are crucial for delivering bug fixes and feature enhancements remotely, ensuring that IoT devices can adapt, improve, and stay secure over time. These updates are typically delivered over the internet, allowing devices to be updated without physical access.
What is the primary purpose of a secure boot in IoT devices?
- Enable remote control of the device
- Enhance battery life
- Improve device processing speed
- Protect the device from unauthorized firmware
Secure boot in IoT devices primarily aims to protect the device from unauthorized firmware, ensuring that only trusted code is executed during bootup. This helps safeguard against malicious software and unauthorized access.
The General Data Protection Regulation (GDPR) affects IoT devices by:
- Requiring all IoT devices to have internet connectivity
- Imposing strict data protection and privacy requirements
- Regulating the size and weight of IoT devices
- Mandating the use of open-source software in IoT devices
GDPR primarily affects IoT devices by imposing strict data protection and privacy requirements. IoT devices often collect and process personal data, making GDPR compliance crucial.
The integration of ________ in clothing has led to the development of smart garments in the wearable IoT sector.
- Batteries
- Conductive fabrics
- Microcontrollers
- Sensors
The integration of conductive fabrics in clothing has enabled the development of smart garments in the wearable IoT sector. Conductive fabrics allow for the integration of sensors, microcontrollers, and power sources directly into clothing, enabling features like temperature monitoring, fitness tracking, and communication in the form of smart textiles.
Which of the following is a real-time operating system commonly used in IoT devices?
- FreeRTOS
- MacOS
- Ubuntu
- Windows 10
FreeRTOS is a real-time operating system (RTOS) that is commonly used in IoT devices. RTOS is essential for managing tasks with strict timing requirements in IoT applications. Windows 10, Ubuntu, and MacOS are general-purpose operating systems not designed for real-time tasks.
Which framework is known for providing a unified method for connecting and managing IoT devices?
- AllJoyn
- CoAP
- IoTivity
- MQTT
MQTT (Message Queuing Telemetry Transport) is a widely used framework for connecting and managing IoT devices. It provides a lightweight, efficient communication protocol for IoT. CoAP, IoTivity, and AllJoyn are also IoT protocols and frameworks.