Interview Questions

Geo J. - "check y the -ve effect - ask them to solve that."See full answer

Mark B. - "Questions and Clarifications: Monitoring can mean a few things- Location, vital signs, fluids did you have something in mind or should I pick? -> You should pick Should I assume I am acting as google or a startup -> You pick -> well google has a mission to organize the world's data, and well being data may play well with either the google health or google home systems. I will act as google I am going to initially focus on the US market, as other markets may have different cultural expectatio"See full answer

Tartan C. - "A transportation system that connects with stakeholders to make the treatment process more predictable and time-effective. Algorithm to send a push to drivers nearby."See full answer

Kunal kumar S. - "simply check its size if the size if the size is greater than n then yes it has duplicate"See full answer

Katherine B. - "For ROI for strategic bets, we want to evaluate short term and long-term returns on our investment as well as ensuring we have quantitative and qualitative milestones to measure progress towards the long-term goal. For quantitative evaluation, I would first outline resource investment from upfront capital investment, infrastructure resourcing and clearly capture the opportunity cost of the investment. Then I would set leading success indicators, and business metrics over the timeline of the inv"See full answer

Lakshman B. - "As we can pass info to only one child at a time, I told that from any given node, we have to pass the info to that child(of this node) which has the largest subtree rooted at it. To calculate the subtree sizes, I used DFS. And then to calculate the minimum time to pass info to all the nodes, I used BFS picking the largest subtree child first at every node. I couldn't write the complete code in the given time and also made a mistake in telling the overall time complexity of my approach. I think t"See full answer

Woosung J. - "For a dataset with one million data points, a Deep Neural Network (DNN) is almost always the superior choice over a K-Nearest Neighbors (KNN) algorithm. The primary reasons for this preference involve computational efficiency, scalability, and the ability to handle high-dimensional data. 1. Computational Complexity (Inference Time) KNN: It is a "lazy learner." It doesn't actually "learn" a model; instead, it stores the entire dataset. To make a single prediction, it must calcul"See full answer

RockyBalboa - "Clarifications: Do we consider window for any building or only residences? I will ignore windows in cars for complexity reasons. Pardon my ignorance for not knowing the size and population of Tehran, Would you mind sharing some inputs or is it okay if pick some Randoms? Analysis: Tehran is ~300 sq. miles in terms of land area with an overall population of 9 MM with an average 3.5 members per household. _I will be moving with windows for residences only and then gut check my response"See full answer

Sourabh M. - "First Contextual Questions: Opportunities & Threats for whom? Assuming for Google Maps only Approach: Google’s Vision & Mission > Where does Maps fit into that? Analysing use case that Google Maps serve? SWOT Analysis My View ## Google Vision & Mission: To organize world’s information and make it universally accessible and useful Google Maps Strategic Fit: _Google Maps provides organization of geographic information, allows users to change/add/delete c"See full answer

Anonymous Muskox - "Opportunity cost, cost of improving the feature, and its's further benefits. Overall business objective, Business stage. [Let's say we haven't acquired much of the customers, so thinking about improving the service won't be a good idea. We should try to scale when it is required.]"See full answer