Edge Computing Quiz

Which of the following is a building block of edge computing?

• Data ingestion and stream processing

• Centralized data centers

• High-bandwidth CDN

• Traditional three-tier architecture

What is the primary purpose of the actionable insight layer in edge computing?

• Storing unstructured data

• Running machine learning training models

• Sending alerts and controlling actuators

• Performing real-time data ingestion

What is a limitation of the current cloud system for AI use cases?

• It offers only local processing capabilities

• It has a low capacity for data storage

• It cannot provide real-time responses due to latency

• It lacks programmability of the network stack

How does edge computing mimic public cloud capabilities?

• By centralizing data storage in remote data centers

• By providing capabilities like device management and stream analytics near data sources

• By reducing the need for hardware innovations

• By utilizing client-server architecture for processing

Which IoT data flow path processes real-time data immediately upon generation?

• Cold path

• Hot path

• Batch path

• Warm path

What is the role of M2M brokers in edge computing?

• Data storage management

• Enabling machine-to-machine communication

• Training machine learning models

• Real-time data conversion

In edge computing, which tier is responsible for running machine learning models?

• Data Source Tier

• Storage Tier

• Actionable Insight Tier

• Intelligence Tier

What is the primary advantage of edge computing over cloud computing?

• High latency

• Centralized processing

• Data sovereignty

• Limited scalability

Which component is responsible for real-time queries and data processing in edge computing?

• Stream Processing

• Function as a Service

• Object Storage

• M2M Brokers

Which of the following is a key feature of Federated Learning?

• Training occurs on centralized data

• Data remains decentralized while models are aggregated

• IoT data is processed only in the cloud

• Training is skipped in federated models