A hospital network connects medical devices that generate continuous patient vitals. The current design sends all data to a central cloud for processing, but clinicians need immediate alerts for critical changes. The hospital also needs to retain a full record of all vitals for compliance. Which architecture best balances these needs?

Process all vitals in the cloud and rely on the network for timely alerts.

Deploy an edge gateway that processes vitals locally for immediate alerts and forwards the full data stream to the cloud for archival.

Use a batch upload of vitals to the cloud every hour for analysis.

Store all vitals only on the edge gateway and do not forward to the cloud.

A company operates a fleet of autonomous vehicles that generate terabytes of data daily. The vehicles need to make split-second decisions, but the company also needs to train machine learning models on the data. Which approach best handles both requirements?

Use a hybrid approach where the cloud makes decisions and the vehicle stores data for later upload.

Store all data locally and never send it to the cloud.

Use edge computing in the vehicles for real-time decisions and send selected data to the cloud for model training.

Send all data to the cloud in real time and have the cloud make the decisions.

A smart-grid operator needs to monitor and control power distribution in real time. The control commands must be executed within 10 milliseconds of a fault detection. The central control center is 200 ms away. What is the most effective way to meet this requirement?

Use a dedicated fiber link to the central control center to reduce latency.

Increase the processing power of the central control center.

Deploy edge controllers at substations that execute local control logic and report to the central center.

Pre-compute all control actions and store them at the substation for manual execution.

A smart factory uses edge computing to control robotic arms. The factory also has a centralized ERP system that needs production data for inventory management. The network team must decide how to handle the data flow. Which design best balances low-latency control and centralized ERP integration?

Use a separate WAN link for the ERP data and keep the control system on the edge.

Run real-time control on edge devices and send aggregated production data to the ERP system periodically.

Send all production data to the ERP system in real time and have it control the robotic arms.

Run the ERP system on the edge devices to avoid sending data to the central site.

Which scenario is a typical use case for edge computing in an IoT context?

A smart factory uses local gateways to analyze sensor data in real time to shut down a machine when a fault is detected.

A company archives historical sales data in a central data warehouse for annual reporting.

A web application stores user session data in a centralized database for consistency.

A backup service replicates entire server images to a remote site nightly.

CiscoCertified Network Associate Automation (CCNA Automation)

Domain 4Objective 1

1. Describe Benefits of Edge Computing 200-901 Practice Questions (Page 3)

Part of the 4.0 Application Deployment and Security domain, which accounts for 15% of the 200-901 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–12 in this domain), expect 1–1 from this objective — we provide 40 practice questions to prepare you well beyond it. (estimate)

40questions here

8free pages

3concepts

15%of the exam

Questions 11–15

11application · medium
A hospital network connects medical devices that generate continuous patient vitals. The current design sends all data to a central cloud for processing, but clinicians need immediate alerts for critical changes. The hospital also needs to retain a full record of all vitals for compliance. Which architecture best balances these needs?
Select an answer first
12expert · hard
A company operates a fleet of autonomous vehicles that generate terabytes of data daily. The vehicles need to make split-second decisions, but the company also needs to train machine learning models on the data. Which approach best handles both requirements?
Select an answer first
13application · medium
A smart-grid operator needs to monitor and control power distribution in real time. The control commands must be executed within 10 milliseconds of a fault detection. The central control center is 200 ms away. What is the most effective way to meet this requirement?
Select an answer first
14expert · hard
A smart factory uses edge computing to control robotic arms. The factory also has a centralized ERP system that needs production data for inventory management. The network team must decide how to handle the data flow. Which design best balances low-latency control and centralized ERP integration?
Select an answer first
15foundation · easy
Which scenario is a typical use case for edge computing in an IoT context?
Select an answer first

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