
Exploring IoT in Embedded Systems
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Other
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University
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Practice Problem
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Easy
divya kumar
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does IoT stand for in the context of technology?
Internet of Technology
Interconnected Online Tools
Intelligent Operating Technology
Internet of Things
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does IoT enhance embedded systems functionality?
IoT limits the functionality of embedded systems by making them more complex.
IoT enhances embedded systems by enabling remote monitoring, data analysis, improved connectivity, and real-time decision-making.
IoT only improves the aesthetic design of embedded systems.
IoT reduces the need for embedded systems entirely.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Name a common communication protocol used in IoT devices.
MQTT
HTTP
FTP
SMTP
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What role do sensors play in IoT applications?
Sensors are crucial for gathering data in IoT applications.
Sensors are used for data storage in IoT applications.
Sensors primarily control device power in IoT applications.
Sensors are only for user interface design in IoT applications.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of edge computing in IoT.
Edge computing eliminates the need for any data processing.
Edge computing in IoT involves processing data near the source of generation to improve response times and reduce bandwidth usage.
Edge computing in IoT requires centralized data processing in the cloud.
Edge computing in IoT is solely focused on increasing storage capacity.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the security challenges associated with IoT devices?
User-friendly interfaces
Weak authentication, lack of encryption, insecure networks, insufficient update mechanisms.
High cost of devices
Limited battery life
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can data analytics improve IoT applications?
Data analytics complicates IoT applications by increasing data volume.
Data analytics improves IoT applications by providing insights for better decision-making and operational efficiency.
Data analytics has no impact on IoT applications.
Data analytics only focuses on historical data without real-time insights.
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