Interview Questions

Michelle D. - "I'd start by trying to understand the high level north star for Stripe Atlas with respect to Stripe's mission of increasing the GDP of the internet. Example north star: Increase successfully created startups MoM, YoY I'd ask the interviewer to confirm my understanding on the following: Atlas allows entrepreneurs to easily launch their startups within a matter of only a few days from signup to receiving a tax ID. I would take this understanding and understand the input metrics towards the n"See full answer

Deepak K. - "FN Given text need to figure out is it following guidelines. Should notify the user in case of not following guidelines. Reason for failure should have misleading/spam/adult filters. NFN High availability High Scalability Low latency of processing Estimations 1M requests/min text - 10kb => 9.5GB/min => 14TB/day API fetchmoderationscore(text) score will be between 0 to 1 more than 0.8 => not following guidelines fetchmoderationscore(text, filter)"See full answer

Manish G. - "When the COVID influx started to flow through hospitals, there were a lot of questions and no time to find solutions. So we set up a command center to manage the flow of issues, triaged them appropriately, and mobilized teams to find quick resolutions. We had to escalate quickly and effectively to find quick resolutions. The team had to rotate the leadership of the command center to avoid burnout due to working round the clock and in unconventional ways to manage the workload. For example, we ha"See full answer

Qusai B. - "Assumption: I’m estimating the minimum number of trains required to fulfil maximum demand I’m including all trains that’s serving NYC Formula: Before I state my formula, I would like to mention a few things I will be calculating the number of trains required to fulfill all demand at the peak time during a workday. I assume peak time lasts for 2 hours I’m assuming that a train takes 2 hours to complete one roundtrip on its route, which means any given train can service rider"See full answer

Jack F. - "What is our goal during onboarding? e.x. Site-visits, add-to-cart, completed checkout etc? After asking clarifying questions we learn that our north-star goal is to get more customers to complete a checkout, therefore our goal is to increase our conversion rate. Are we looking to sell more of a particular product or increase conversion rate holistically? Segmentation: Do we have a particular market or demographic in mind? Commercial/business vs. individuals One time buyers vs. repeat purch"See full answer

Ajinkya P. - " I would ask some clarifying questions to refine my objective and know about our users? What do you mean by experience? Travel, food, short stay, long stay, dating, event, work, airport, registration? - Improve Food, Travel, Event experience, which can be a short or long stay. What do you mean by the movement to a new city? International travel/ within a specific country (designing solution for any country?) or any geography? - within a country suppose India What is our business objecti"See full answer

Nagi E. - "Comprehend the situation: “When we say video streaming, do we mean watching videos such as movies and TV shows from devices using the internet?” Yes “Is it a fair assumption calling 65+ as seniors?” Yes “Any specific goal in mind?” Up to you “Timeline? constraints? “ None “Is this an extension of one of the existing streaming apps or a brand new one?” Brand new “Is there hardware needed for this app or will we be using the existing hardware and only developing the app?” You decide I’l"See full answer

N N. - "As a software engineer, there are a number of ways I could potentially contribute to improving Walmart.com. Here are a few ideas: Performance Optimization: Walmart.com is a complex web application with many moving parts. One potential area for improvement could be to optimize the performance of the site to make it load faster and feel more responsive. This could involve things like optimizing images, improving server response times, or reducing the number of HTTP requests required to load the"See full answer

Ben G. - "Situation - A time I had to think “outside of the box” was while I was at Google working on hotel solutions for smart displays. Smart displays are mutli-modal meaning they accommodate both touch and voice. I was given the task of leading the effort of scaling a new third party solution on top of our existing first party design system. However, the pandemic caused an unfortunate turn of events in that the needs of guests changed drastically and now needed a much more voice forward solution for"See full answer

Esha - "Clarifying Questions What do we mean by ‘improve’? Is there a certain goal that we are trying to attain? Is there a target user that we are going for? Any constraints or things to keep in mind when building this? Assumptions Only focused on google docs and not collaboration on other G-suite products such as PPT or sheets What is Google Docs? Web-based productivity tool that allows you to access your files from any computer through your gmail account. You can also share and"See full answer

Aruna D. - "Assumption #1: the deal is signed and the customer now will being the process of moving to GCP Assumption #2 : the deal includes Iaas as well as Paas (App Engine) - moving apps from on prem to cloud Objective : Design a product that will help the customer onboard and successfully plan the move to GCP. Customer is using on premise and is new to cloud. Lets assume the tool should include the roadmap planning too ie decisions such as moving all vs some applications etc . As in any onboarding to"See full answer

Dinar M. - "Even more faster and vectorized version, using np.linalg.norm - to avoid loop and np.argpartition to select lowest k. We dont need to sort whole array - we need to be sure that first k elements are lower than the rest. import numpy as np def knn(Xtrain, ytrain, X_new, k): distances = np.linalg.norm(Xtrain - Xnew, axis=1) k_indices = np.argpartition(distances, k)[:k] # O(N) selection instead of O(N log N) sort return int(np.sum(ytrain[kindices]) > k / 2.0) `"See full answer

Dan D. - "It would be nice if the final Google Docs link can be shared somewhere, so we can access it for reference with ease."See full answer