Interview Questions

Aziz V. - "ArrayList allows constant time access (O(1)) to elements using their index because it uses a dynamic array internally, whereas LinkedList requires traversal from the head node, resulting in linear time complexity (O(n))."See full answer

Exponent - "This is one of the core behavioral questions that you should expect to cover in any interview. In particular, it asks you to justify why you want to work at a specific company that you've applied for. There's no right answer for this, however we do recommend you list at least three distinct reasons. Here's an example of what you might say: > That's a great question. There are three main reasons why I want to work at Twitch:Building a product I use > Working in marketplaces > Mentorship > I'll go"See full answer

Lee F. - "Is this s shuttle service or the standard uber service? Let's assume the latter. First Uber should gather some data. Find cities similar to Bangalore in several measures that Uber already services. Al bring in cities in India that already are services by Uber, if any. With this in hand, do a multifactoral analysis to try and understand the likely demand in Bangalore. That will help the company understand how many drivers it needs to launch with, so that user expectations for service are met. Hir"See full answer

Mitchell K. - "You have a lot of cool ideas here but seems like the answer ends abruptly without concrete suggestions, which make the answer not so memorable at the end."See full answer

John C. - "Professional, congenial people"See full answer

Jenny L. - "I would target any demographic where their natural sense of "smell" is diminished or no longer available (consumer). I would also target commercial market opportunities in the food and cosmetics (specifically fragrance)."See full answer

Anonymous Muskox - "Metrics which Youtube Consider before building a recommender system Number of likes on a video by user The watch time of a video by the user The video disklied by the user The video share by a user The video skipped or churn with 20-30 seconds. Depending on this Youtube build a recommender system. The video suggestion feature in youtube works based on the recommender system. It may use a hybrid of batch prediction and online prediction. So depending on the above metrics, the youtube p"See full answer

Harsh S. - "AUC 0.5 equates to a random model, so when creating any machine learning model or statistical model, you ideally want your model to at least beat this random baseline."See full answer

Aravinth K. - "What is your experience with user testing? All products/feature I have worked on B2C space is primarily testing users for a hypothesis. Why B2C? Because you have millions of users who you have not met and also impossible to meet. Hence we formulate hypotheses and evaluate users' behaviour based on our goal. For example, one of the last features I worked on tried to answer the question "Will users who pay their bill using Net Banking use other payment methods if it is not shown to them?" Henc"See full answer

Nithin G. - "So the question started of with strategy on how we should approach this followed with metrics to monitor"See full answer