I applied online. The process took 1 week. I interviewed at LiveRamp
Interview
Online test: Six degree, why LiveRamp, Dice, and some other questions asking about running time complexity of algorithms, which should be standard enough to solve.
Phone interview: got notified to schedule the pone interview after a while I submitted the test. Spoke with an engineer about 30 minutes. Asked to describe one of my projects on resume, a puzzle, and a few questions on details of Six degree questions. Running time complexity, how to calculate the distance of 2 nodes, how to improve if possible, etc.
Other Software Engineering Interview Reviews for LiveRamp
It is just a normal usual interview that happen in the India. So u can join as it is easy to make the point more accurate. So we cN join easy and do the need for ur life.
I applied online. The process took 1 week. I interviewed at LiveRamp (San Jose, CA) in Dec 2016
Interview
I applied online through Angellist. And then, I received an email from the HR, who set up the technical interview after applying. About a week later I got a for the technical interview.
Interview questions [1]
Question 1
The first question was on BFS.
The second question was a brain teaser sort of a question. I had to identify which of the two basketball players will win a round if they try once or ten times.
I applied through college or university. The process took 2 weeks. I interviewed at LiveRamp (San Francisco, CA) in Nov 2016
Interview
Codility test followed by a 30-min phone interview. I found the codility test to be harder than the phone interview. I was asked a degrees of separation question during the phone interview. The guy was friendly, and I thought I had done well (explaining BFS, DFS, and some complexities). It was one of my first interviews, so I was a bit nervous. Anyways, I didn't pass the second round.
Interview questions [1]
Question 1
General BFS question: given a random Wikipedia article, how do you find the shortest possible way to reach the liveramp article by clicking the links on the pages? What data structures do you need? What if you had an API that gives you the list of links in a wikipedia article? Space/time complexities? What if you didn't care about time complexity, but wanted to lower space complexity?