Interview Questions

Suhas P. - "Implementing the anomaly Machine learning using some algorithm like Isolation Forest algorithm DBscan algorithm and local data point find algorithm."See full answer

Snigdha reddy P. - "So like union find? "See full answer

Anonymous Mongoose - "Given a Binary Tree, the task is to find its vertical traversal starting from the leftmost level to the rightmost level. If multiple nodes pass through a vertical line, they should be printed as they appear in the level order traversal of the tree. The idea is to traverse the tree using dfs and maintain a hashmap to store nodes at each horizontal distance (HD) from the root. Starting with an HD of 0 at the root, the HD is decremented for left children and incremented for right children. As we"See full answer

Bjorn L. - "Whatever your situation is, the correct answer is: "I'm very happy with my current job (expand on your experience, ability to deliver, team, achievements etc). But when I saw this opportunity, I had find out more." You essentially want to sounds interested, but clarify that your current situation is great."See full answer

Clayton P. - "The interviewer hinted that a two-tower recommender system might be a suitable approach, using user history to embed users and pages separately and train on view or interaction data. Instead, I proposed a different approach that I felt was more aligned with how knowledge is structured in Confluence: I designed a system using a graph database to model the relationships between Confluence pages. Each page is a node, and edges represent content-based references. For example, when one article"See full answer

Henry H. - "Overall, a successful Netflix viewing session requires that the user was able to find a piece of content that they loved watching. Now, to break this down, how we might define this: -Time browsing (from app open to content played) -Satisfaction --> inferred satisfaction: did user complete watching the piece of content? --> explicit: did the user rank that they loved the content (2 thumbs up)? The way I would evaluate a new Top Picks ML feature would be to implement an A/B test as follows: Te"See full answer

Ketshi B. - "Clarifying questions When we say signals do you mean just features that are fed into the ML model that decide how the content should be ranked? Is newsfeed the front page of fb app. Can you expand what you mean by relevance? User journey User enters blue app.. Newsfeed is the first thing they see. User either continues on newsfeed ie scrolls through it or moves to a separate part of fb As they are scrolling they may see contents from friends, creators and ads, or other pages that they have been"See full answer

Manjula R. - "Clarifying questions: What is the issue in the current algorithm? Not obvious Why do you want to improve? Engagement Are there any churn trend in YouTube viewers? Yes I see for last few months 10% reduction Do you have any support tickets from users regarding personalization? Not sure Have you released any new launches or bug fix into the existing algorithm? No What is the goal for this improvement suggestion? Engagement Are you targeting any specific region? NA Do"See full answer

Aashka C. - "Sorted the array and stored the minimum difference in a variable and then traversed the array for the pairs having minimum difference"See full answer