In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.

Data Structures Round: They asked stock price fluctuation from Leetcode with a little twist in the question. The focus is on what Data Structure I choose, their trade offs and Time complexity. The code should be executable along with Unit tests in 60 mins. I had a Java Developer interviewing me, I did my solution in python. The interviewers will give hints through out the interview, thus felt like a brain storming session. The difficulty of the MLE interview is equal for an SDE role

Code Design Round: The question was something similar to the following: Let’s pretend we are in charge of a cinema. We want to figure out whether a new movie can be added to the existing schedule without removing any of the current movies. Note that: the cinema opens at 10:00 the last possible end time for a movie is 23:00 movie durations include setting up the room before the movie begins and cleaning it up afterward. In other words, if for example a movie ends at 14:00, the next movie can start at 14:00 movie start times are expressed in minutes starting from midnight, so for example, 10am would be 10*60 = 600