Questions source -: https://github.com/arialdomartini/Back-End-Developer-Interview-Questions
Q - What is downside of caching ?
A - stale data , overhead , complexity
Stale data - you are at risk of presenting old data that's no longer relevant to the new situation
overhead data - excess data
complexity - leads to more code that you need to maintain and understand.
Q - Scale out vs scale up: how are they different? When to apply one, when the other?
A - Scale-up is done by adding more resources to an existing system to reach a desired state of performance. It is taking what you’ve got, and replacing it with something more powerful.
The time it takes to procure additional recourses to scale-up a given system could take weeks or months in a traditional on-premises environment while scaling-up in the cloud can take only minutes.
Scale-out is usually associated with distributed architectures. It takes the infrastructure you’ve got, and replicates it to work in parallel.
This has the effect of increasing infrastructure capacity roughly linearly. It is a viable scaling solution until it is impossible to scale up individual components any larger.
Q - What characteristic should a system have to be Cloud Ready?
A -
Relocatable
Failure Tolerant
Frugal
Introspectable
Seamlessly updatable