Computer Knowledge
Internet of Things and Applications
2,876 Questions
Internet of Things (IoT) questions cover the connectivity of devices, cloud platforms, and sensor networks. Topics include IoT security, data analytics, short-range wireless technologies, and low-power applications. These concepts are vital for computer knowledge sections in various competitive exams.
IoT ConnectivityIoT SecurityData AnalyticsCloud PlatformsWireless Technology
Internet of Things and Applications Questions
Which of the following is a short-range wireless technology that is often used for home automation?
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Bluetooth
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Wi-Fi
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Zigbee
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LoRaWAN
C
Correct answer
Explanation
Zigbee is a short-range wireless technology that is often used for home automation and other low-power applications.
Which of the following is a satellite IoT technology?
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Iridium
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Globalstar
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LoRaWAN
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Zigbee
A
Correct answer
Explanation
Iridium and Globalstar are satellite IoT technologies that are designed for global coverage.
Which of the following is a non-cellular IoT technology?
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Bluetooth
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Wi-Fi
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NB-IoT
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LoRaWAN
D
Correct answer
Explanation
LoRaWAN is a non-cellular IoT technology that is designed for long-range, low-power applications.
Which of the following is a medium-range wireless technology that is often used for industrial applications?
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Bluetooth
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Wi-Fi
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Zigbee
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LoRaWAN
C
Correct answer
Explanation
Zigbee is a medium-range wireless technology that is often used for industrial applications and other low-power applications.
Which of the following is a cellular IoT technology that is designed for low-power, wide-area applications?
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NB-IoT
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LTE-M
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LoRaWAN
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Zigbee
A
Correct answer
Explanation
NB-IoT is a cellular IoT technology that is designed for low-power, wide-area applications.
Which of the following is a satellite IoT technology that is designed for global coverage?
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Iridium
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Globalstar
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LoRaWAN
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Zigbee
A
Correct answer
Explanation
Iridium is a satellite IoT technology that is designed for global coverage.
What are some innovative use cases of KaiOS beyond traditional mobile phone applications?
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Smart home automation, healthcare monitoring, and industrial IoT solutions
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Educational tools for remote learning, financial inclusion initiatives, and agricultural applications
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Navigation systems for visually impaired individuals, assistive technology for the elderly, and emergency response devices
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Environmental monitoring, wildlife tracking, and disaster relief communication systems
Correct answer
Explanation
KaiOS has been utilized in various innovative use cases beyond traditional mobile phone applications, including smart home automation, healthcare monitoring, industrial IoT solutions, educational tools, financial inclusion initiatives, agricultural applications, navigation systems for visually impaired individuals, assistive technology for the elderly, emergency response devices, environmental monitoring, wildlife tracking, and disaster relief communication systems.
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An electricity grid that uses digital technology to monitor and control the flow of electricity
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A grid that uses renewable energy sources
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A grid that is resistant to cyberattacks
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A grid that is more efficient than traditional grids
A
Correct answer
Explanation
A smart grid is an electricity grid that uses digital technology to monitor and control the flow of electricity.
What is the primary objective of IoT data analytics in manufacturing?
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To improve product quality
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To optimize production processes
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To reduce downtime
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To enhance worker safety
B
Correct answer
Explanation
IoT data analytics helps manufacturers optimize production processes by identifying inefficiencies, reducing waste, and improving overall productivity.
Which type of data is commonly collected from IoT devices in manufacturing?
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Sensor data
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Machine data
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Process data
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All of the above
D
Correct answer
Explanation
IoT devices in manufacturing collect various types of data, including sensor data (e.g., temperature, pressure, vibration), machine data (e.g., operating hours, maintenance records), and process data (e.g., production rates, quality metrics).
Which of the following is a common IoT data analytics application in predictive maintenance?
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Monitoring equipment condition
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Predicting maintenance needs
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Scheduling maintenance activities
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All of the above
D
Correct answer
Explanation
IoT data analytics is used in predictive maintenance to monitor equipment condition, predict maintenance needs, and schedule maintenance activities, thereby reducing downtime and improving asset utilization.
How does IoT data analytics contribute to quality control in manufacturing?
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By identifying defects in products
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By optimizing production processes
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By reducing production costs
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By improving customer satisfaction
A
Correct answer
Explanation
IoT data analytics helps identify defects in products by analyzing sensor data and machine data to detect anomalies and variations in production processes.
Which of the following is an example of an IoT data analytics application in energy management for manufacturing?
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Monitoring energy consumption
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Identifying energy-saving opportunities
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Optimizing energy usage
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All of the above
D
Correct answer
Explanation
IoT data analytics is used in energy management for manufacturing to monitor energy consumption, identify energy-saving opportunities, and optimize energy usage, leading to reduced energy costs and improved sustainability.
How does IoT data analytics enhance worker safety in manufacturing?
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By monitoring hazardous conditions
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By detecting safety violations
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By providing real-time alerts
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All of the above
D
Correct answer
Explanation
IoT data analytics enhances worker safety in manufacturing by monitoring hazardous conditions, detecting safety violations, and providing real-time alerts, enabling manufacturers to take proactive measures to prevent accidents and ensure a safe working environment.
What is the role of IoT data analytics in supply chain management for manufacturing?
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Tracking inventory levels
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Optimizing transportation routes
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Predicting demand
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All of the above
D
Correct answer
Explanation
IoT data analytics plays a vital role in supply chain management for manufacturing by tracking inventory levels, optimizing transportation routes, predicting demand, and improving overall supply chain efficiency.