Understand the Functionality of the Typical Physical and Edge/fog Computing Elements. ITP-110 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A startup is prototyping a wearable health monitor that needs to read multiple sensors, process data locally, and display results on a small screen. The team has experience with high-level languages and wants to iterate quickly. Which hardware platform and programming language combination is most suitable for a proof-of-concept?

   • AArduino Uno with C++
   • BBeagleBone with Assembly
   • CRaspberry Pi with Python
   • DA commercial ARM MCU with Rust
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A building management company has 200 temperature sensors and 50 humidity sensors spread across multiple floors. Each sensor sends data every 5 seconds. The company wants to reduce cloud bandwidth usage and ensure that alerts for temperature exceeding a threshold are generated even if the cloud connection is temporarily lost. What should the architect implement?

   • AIncrease the sensor sampling interval to 60 seconds and send all data directly to the cloud
   • BConnect each sensor directly to the cloud and configure cloud-side alert rules
   • CDeploy a gateway on each floor to aggregate data, filter normal readings, and run local alert logic before forwarding only anomalies to the cloud
   • DDeploy a fog node in the cloud to process all sensor data and send alerts back to the building
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which hardware platform is a microcontroller board that is often used for simple sensor reading and actuator control in IoT projects?

   • ARaspberry Pi
   • BIntel NUC
   • CArduino
   • DNVIDIA Jetson
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5. 9foundation · easy

   Which term describes a computing layer that sits between edge devices and the cloud, providing local processing and aggregation?

   • AUtility computing
   • BCluster computing
   • CGrid computing
   • DFog computing
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6. 10expert · hard

   A factory has a robotic assembly line that requires real-time control with sub-10ms response times. The line also generates large amounts of data that must be analyzed for predictive maintenance. The company has a reliable cloud connection but wants to minimize latency for control. Which architecture best meets these requirements?

   • ASend all sensor data to the cloud for processing and send control commands back to the actuators
   • BUse a fog node located in the same building but on a different network segment for control and send raw data to the cloud
   • CUse a cloud-based AI service to predict failures and send commands directly to actuators
   • DUse an edge gateway for real-time control loops and send only aggregated data to the cloud for predictive maintenance analytics
   Reveal Solution Discussion Select an answer first