1. Describe Benefits of Edge Computing 200-901 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A wind farm operator collects data from turbines to predict maintenance needs. The turbines generate large amounts of data, but the WAN link to the central office is limited. The operator only needs daily reports. Which edge computing benefit is most relevant?

   • AImproved reliability during network outages.
   • BBandwidth savings by processing data locally and sending only daily summaries.
   • CEnhanced security by keeping data on-site.
   • DReduced latency for real-time control.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A manufacturing company operates a factory floor with robotic arms that must react to sensor data within 10 milliseconds. The current architecture sends all sensor readings to a centralized cloud data center for processing, but the network round-trip time is 80 milliseconds. The company wants to keep the existing cloud for long-term analytics. Which approach should the network automation engineer recommend?

   • AMove the cloud data center to a region closer to the factory to reduce the round-trip time.
   • BIncrease the bandwidth of the WAN link to the cloud data center to reduce the round-trip time.
   • CDeploy a local edge gateway that processes sensor data on the factory floor and forwards only aggregated summaries to the cloud.
   • DUse a content delivery network to cache sensor data at the factory.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A telecommunications provider wants to offer a service that processes augmented reality (AR) content for mobile users. The service requires ultra-low latency to keep the AR experience smooth. Which deployment strategy is most appropriate?

   • APre-load all AR content on the user's device.
   • BUse a centralized cloud data center with high-performance GPUs.
   • CUse a content delivery network (CDN) to cache AR content.
   • DDeploy edge nodes at the network base stations to process AR content close to the users.
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A company operates a fleet of autonomous vehicles that generate 1 TB of data per hour per vehicle. The vehicles need to make split-second decisions, but the cloud is 100 ms away. The company also wants to train new machine learning models using the collected data. Which architecture best satisfies both the real-time decision requirement and the model training need?

   • ARun the decision-making model on the vehicle's edge computer and upload a curated subset of data to the cloud for model training.
   • BUse a satellite link to reduce cloud latency to 10 ms.
   • CSend all data to the cloud in real time and run the decision model in the cloud.
   • DRun the decision model on the vehicle but never upload any data to the cloud.
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A hospital network uses IoT devices for patient monitoring. The monitoring application must continue to function during a WAN outage, but the hospital also needs to centralize all patient data for compliance reporting. The network team must balance local autonomy with centralized data collection. Which approach best meets both requirements?

   • ASend all data to the central system in real time, ignoring the WAN outage risk.
   • BUse a redundant WAN link to ensure the central system is always reachable.
   • CDeploy edge gateways that process and store data locally, and synchronize with the central system when the WAN is available.
   • DStore all data only on the edge devices and never send it to the central system.
   Reveal Solution Discussion Select an answer first