IOT IoT Edge Computing

Question 1

What is the primary driver for adopting edge computing in IoT deployments?

Accepted Answer

Reducing latency and bandwidth by processing data close to where it is generated

Answer

Reducing device manufacturing costs

Answer

Simplifying device hardware design

Answer

Eliminating the need for cloud services entirely

Question 2

What is an 'edge node' in an IoT edge computing architecture?

Accepted Answer

A device or gateway at the network edge with local compute capability to process IoT data

Answer

A sensor with no processing capability

Answer

A cloud server in a remote region

Answer

A battery backup unit for IoT devices

Question 3

Which term describes running machine learning inference on IoT edge devices rather than in the cloud?

Accepted Answer

On-device / Edge AI inference

Answer

Cloud ML

Answer

Federated learning

Answer

Transfer learning

Question 4

What is 'containerization' used for in IoT edge deployments?

Accepted Answer

Packaging edge applications with their dependencies for consistent, portable deployment across diverse edge hardware

Answer

Physically packaging IoT sensors for shipment

Answer

Encrypting data containers on edge devices

Answer

Managing IoT power supply units

Question 5

What challenge does 'heterogeneity' present in IoT edge computing deployments?

Accepted Answer

Managing diverse hardware, operating systems, and communication protocols across a mixed fleet of edge devices

Answer

Too much available computing power at the edge

Answer

Excessive network bandwidth at the edge

Answer

Standardized device programming making updates difficult

Question 6

What is 'edge orchestration' in IoT deployments?

Accepted Answer

Automated management of workload deployment, scaling, and lifecycle across distributed IoT edge nodes

Answer

Coordinating music playback on smart speakers

Answer

Physical installation of edge hardware

Answer

Coordinating time synchronization on edge devices