in the phone interview: - pretty basic python algorithm question. Having read the others here, I assumed I'd get pitched a softball and then a harder question. I was able to solve it within the first several minutes, but spent the rest of the session trying to optimize the solution. - some basic SQL questions on joins and such. I answered probably 5 or 6 questions. Both of these interviews seemed like minimum bar screens. For the in-person interview: - more difficult python question and had to code on a white board. It was a pretty simple sorting question that was easy to solve but less trivial to optimize. - more difficult SQL questions. I struggled here but I was a bit weaker in SQL so I figured as much. This progressed into dashboard design. - Lunch was at a cafe on campus and delicious. Interviewer was just asking me about work experience and culture and it seemed just like a general personality compatibility test. - Full Stack interview was my favorite part and a lot of fun. Without giving too much away, I was given a realistic problem and tasked with conceptualizing the solution in real time, from start to finish, on a white board. It was a mix of coding and conceptual and seemed to be meant to test product sense.
Data Interview Questions
132,952 data interview questions shared by candidates
remove duplicate list values in python ? s = [10,20,30,20,10,40,50]
Say you notice a surge in average activity among users but the number of users is down, how would you explain this?
SQL Questions
phone screen for SQL: Give data model - solve various SQL questions Python: list and dict manipulation
The SQL question was quite easy. Given a table with detailed customer complaint tickets of different types, calculate the share of processed tickets within each type.
SQL analytical queries. Python basic programming.
What would I estimate as metrics for ab test ?
Write a query that returns percentage of unsold product_category.
If you implement a new feature to FB how would you measure the success
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