Cisco Certified DevNet Associate 200-901 Syllabus Exam Questions Answers

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This helps to:

Reduce Latency: By processing data closer to where it is generated, edge computing reduces the time taken for data to travel to a central server and back. This is especially important for applications requiring real-time or near-real-time responses.

Optimize Bandwidth: Reducing the amount of data sent to a central data center can conserve bandwidth and lower costs.

Enhance Security and Privacy: Processing data locally can enhance security and privacy by minimizing the exposure of data during transmission.

The described behavior, where an automation script fails to connect to an internal server exactly 50% of the time from different clients, suggests an issue with a load balancer. Load balancers distribute incoming network traffic across multiple servers to ensure reliability and performance. If a load balancer is misconfigured or if one of the backend servers is down, the connection might fail intermittently, which aligns with the described 1 out of 2 failure rate.