I'd argue that there is a not-insignificant amount of overlap between whiteboarding and coding. Most coding in practice is not as "algorithmic" (in the sense th

I'd argue that there is a not-insignificant amount of overlap between whiteboarding and coding. Most coding in practice is not as "algorithmic" (in the sense that the problems are theoretically challenging) but having the knowledge and know-how of how to write optimal/efficient algorithms will definitely be echoed throughout any code you write. In addition, in my experience most WBI are not particularly challenging problems that you have probably never seen before. I mentioned the ability to extract a path from a DFS; I would argue that this is such a basic CS skill that being unable to solve that problem indicates an insufficient amount of knowledge of CS. There are definitely WBI that are poorly matched with real job requirements and knowledge. I think these are often seen at smaller companies trying to copy FB/Google without knowing what they are doing. WBI that involve using important CS constructs such as a binary tree or a directed graph IMO are testing important concepts