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One employer that I respect gave me what I thought was one of the best technical interview questions that I have seen at any recent company where I have intervi
by jcrites 5y ago
One employer that I respect gave me what I thought was one of the best technical interview questions that I have seen at any recent company where I have interviewed:
Design a binary tree containing integers. Design a function to serialize this to a byte array (or byte stream); and design a function to deserialize that same output back into its original tree form.
I thought this was completely reasonable and also very practical, as it tests data structure knowledge to the extent that is likely to come up during real programming tasks, in a context that is entirely plausible as well (needing to serialize data in order to store it or pass it between systems, etc.)
I had to look up what it means to invert a binary tree since I hadn’t heard that term in a while. It seems like something you’d be more likely to do with a binary search tree than an arbitrary binary tree, but the operation makes sense on both. (Given that a binary tree represents a sequence of elements, “inverting” the tree means constructing a tree representing the same sequence of elements in reverse.)
If you realize that inversion is as simple as swapping the left and right edges for every node — either in place or by constructing a new tree - then the problem is actually fairly simple.
… as long as the candidate has a clear understanding of what “inverse” means — I might clarify and ask them to “reverse” the tree - it doesn’t seem like a particularly difficult interview question.
However I’m not a fan of interview questions that require a “flash of insight” - even one such as “oh this question has a simple solution: swap left and right of each node” - since candidates might get tripped up looking for traps that require algorithms something more complex than the obvious.
Also I think that kind of task is rather removed from the kind of problem that we typically work on as software engineers on a daily basis. Serializing and deserializing data structures is something that I do in one fashion or another not infrequently - usually not with custom code but I think a competent programmer should be able to write that code.
Binary trees and algorithms on them are not something that come up very often in practice in my experience. They might come up if you were building a collections library or a particularly optimal solution to a large scale problem.
Otherwise, I don’t think I’ve seen a binary search tree in userland business logic the entirety of my professional career. On the other hand I’ve definitely had to write serialization/deserialization functions for object graphs. Although this is less common now that there are a variety of good serialization libraries and RPC tool kits, I find it’s often still necessary to convert between their generated structures and the native ones used by business logic.
In conclusion: the question seems like one that I would expect a competent developer to be able to solve, as long as they’re given a clear understanding of what the problem actually means (i.e. explain what it means to invert a tree and not takeoff points for not knowing that) - but it’s not a good problem IMO because it’s not the kind of code one would typically need to write while solving routine business problems.
All that being said, Google also rejected me during my last round of interviews; I believe this was because I was transparent with the recruiter about my interviewing at other companies and offers that I had, and Google’s offer (per the recruiter) would have been for considerably lower compensation. They said they did not want to compete on compensation because it would be unfair to their existing employee population, and so - per my best read of the situation (there was no discussion about my interview performance, and rather about this) - they decided not to make an offer that was lower on compensation, and potentially also on comparative level. So I might not be the best person to comment on Google‘s hiring practices. During a previous interview they did give me an offer though so shrug. (I interview periodically to benchmark comp and stay sharp)