Google Interview Questions

Caroline V. - "The answer likely depends on the objective, so I started out with what we were seeking to accomplish. Are we trying to eliminate under-utilized bills, save paper, reduce forgery, or something else? Establishing this focus enables you to dive deeper on the solution."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 - "An operating system like Android Go for low-powered devices. Slimming of application like Google Go or Gmail Go which is focused on the emerging markets. Strategic partnership with local telecom companies to provide free wifi to emerging or markets with low data. For example -> Facebook partnered with JIO in India to make the internet penetration more deep. "See full answer

Ankit C. - "I can use personalised announcement, something like speaking out loud the time in a more sublte way, instead of blaring sound of an alarm. We can put dynamic alarm tune, meaning one type of tune repeats itself only after a certain period of days. That should help the tune in not becoming the noise to the user, and so he doesn't get indifferent to same tune over time. Can add a voice assistant to set the alarm, pre-recorded with a fixed set of voice commands - to avoid reliance on internet. Can"See full answer

Joohi M. - "Get an audience with the big player - 1) Talk about the camera tech KPI that your company has improved/ 2) Talk about the technology itself 3) Talk about how it's better than the big player's competitors 4) Show a demo through a few benchmarks 5) Promise the big company that your company will support their product end to end if integrated into their product 6) Try to differentiate on pricing 7) Also show how the big player can win more in the market - maybe more user acquisition, or more engage"See full answer

Exponent - "This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your equat"See full answer

Suyash kumar T. - "I will talk about the carwash landscape here a bit. How futuristic do you want the solution to be - flying cars kind of futuristic or something that I can use even now ? What do you mean by a car wash - Is it a physical location where I take my car to OR is it something that I can install at home ? There are two sides to a car wash set up - the car wash company and the user - I am going to assume that we are building this solution for the user. Is there an specific goal in mind or I can cho"See full answer

Anonymous Muskox - "So Machine learning provides the ability to machines to learn patterns from large data. So applying the same when needed. So the type of algorithm depends on the requirement/use case or the data. For example, if we have data that is labeled and we need to do classification then we will go and perform logistic regression but if we want prediction instead of classification, then we will go and build a regression model. In case the data is not labeled, then we can go ahead and build a model usin"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

Andrei S. - "Follow up question was: what is your strategy to sell it?"See full answer

Lash - "A perceptron is the most basic building block of a neural network and represents a single-layer binary classifier."See full answer

R - "Assumptions I am going to assume that users know how to send smell through the phone I am also going to assume this is only available between phone-to-phone and not server-to-phone Clarifying questions What are the goals? Customer retention or New market/user acquisition? I would like to pick New Market/User acquisition because this is a new technology that can be used in new use cases in new verticals. Metrics We will measure number of users who used this new technology We will measure"See full answer