In SCADA systems, a monolithic architecture means all components are tightly integrated. What is the main impact of this on system scalability?
Think about how tightly connected parts affect the ability to grow system capacity.
Monolithic systems require scaling the entire system together, which can cause bottlenecks and inefficiency, limiting scalability.
What output would you expect from a load balancer status command in a SCADA system designed for scalability?
show loadbalancer status
Consider what a healthy load balancer managing multiple servers would report.
A scalable system uses multiple servers with even load distribution and active connections, shown in option D.
Which sequence correctly describes the workflow to scale a distributed SCADA system?
Think about the logical order: first check, then add, then configure, then verify.
Proper scaling starts with monitoring, then adding resources, updating configurations, and finally verifying performance.
A SCADA system shows slow response times when many sensors send data simultaneously. Which architectural issue is most likely causing this?
Consider what happens if one component cannot handle increased load.
A single point of failure in a critical module can cause overload and slow responses under high data input.
Which architectural practice best supports scalable SCADA systems to handle growing sensor data and control commands?
Think about flexibility and independent growth of system parts.
Loosely coupled microservices allow parts of the system to scale independently, improving overall scalability.