
Round-3
Authored by LIKHITH B
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University
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20 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
What is the primary function of a "gateway" in IoT architecture?
To control IoT devices remotely.
To store and process IoT data locally.
To connect IoT devices to the cloud.
To act as a firewall for IoT traffic.
2.
MULTIPLE CHOICE QUESTION
1 min • 5 pts
In the context of IoT (Internet of Things), which of the following statements is true regarding the general framework of IoT?
IoT typically involves devices that only communicate with local servers.
IoT framework is simpler than the representation in Equation 1.1
IoT devices gather data but do not communicate it to central units.
IoT is primarily used in a single application and not in enterprise processes.
3.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
What is the "edge" in edge computing in the context of IoT?
The sharp outer edge of IoT devices.
The part of a network that connects IoT devices to the internet.
The cloud data center where IoT data is processed.
The processing and storage done on IoT devices themselves, closer to the data source.
4.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
In IoT, what is the primary role of an "Embedded Operating System" like RIOT or Contiki?
To run applications on cloud servers.
To monitor network traffic.
To manage firmware updates for IoT devices.
To provide an operating system for IoT devices with resource constraints.
5.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
What does a "first-in first-out" (FIFO) manner refer to in the context of IoT devices?
Message cache management
Sensor calibration order
Device message-queue behaviour
IoT server prioritization
6.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
In deep reinforcement learning, what does the term "Q-Learning" refer to?
A type of neural network architecture
A technique for optimizing support vector machines
A method for solving Markov decision processes
A reinforcement learning algorithm for estimating the quality of actions
7.
MULTIPLE CHOICE QUESTION
1 min • 5 pts
What is the purpose of a random variable in probability theory?
To ensure that all outcomes of an experiment are numerical.
To make experiments more uncertain and unpredictable.
To model uncertainty and associate numerical values with experiment outcomes.
To guarantee that all experiments have equally likely outcomes.
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