IoT Data Collection.

IoT Data Collection.

University

10 Qs

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IoT Data Collection.

IoT Data Collection.

Assessment

Quiz

Other

University

Practice Problem

Medium

Created by

Murugananthan Velayutham

Used 4+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is IoB?

Internet of Business

Internet of Things

Internet of Behavior

Internet of Everything

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is data collection in IoT?

Transmitting data from IoT devices or sensors.

Gathering and storing data from IoT devices or sensors.

Developing software for IoT devices or sensors.

Analyzing and interpreting data from IoT devices or sensors.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are sensors in IoT data collection?

Devices that transmit data wirelessly

Devices that store data in the cloud

Devices that analyze data collected from the physical environment

Devices that gather data from the physical environment and convert it into digital signals.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do sensors collect data in IoT?

By measuring physical or environmental conditions

By analyzing user behavior

By transmitting signals to a central server

By using artificial intelligence algorithms

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some common types of sensors used in IoT data collection?

accelerometer sensors

sound sensors

temperature sensors, humidity sensors, motion sensors, light sensors, pressure sensors, and proximity sensors

gas sensors

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of sensors in IoT data collection?

To gather real-time data from the physical world.

To provide power to IoT devices.

To control devices in the physical world.

To analyze historical data from the physical world.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the advantages of using sensors in IoT data collection?

Speed, reliability, and connectivity.

Efficiency, security, and flexibility.

Cost-effectiveness, privacy, and scalability.

Real-time data, automation, accuracy, and decision-making.

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