Interview Questions

Karthik R. - "Good Discussion on the distributed messaging queues (Complex topic with lot of nuances) Liked the mind-map style drawing of requirements and metrics capture Touched on different types of queue styles (point to point, pub-sub, fan-out/fan-in) Storage and WAL usage was interesting Some distributed queue challenges that could be helpful to highlight / expand are: Message guarantee / semantics - Ordering of messages across different servers Replication Master slave architecture or Pe"See full answer

Sdn D. - "Clarifying question: AOV/USER it means that the total price paid by a user in a certain period should be more than what it is now ? Is the average taken on a daily/ weekly/monthly basis ? I would presume it to be a monthly basis , as it helps us a defined period of time to analyse user beharviour and track number of orders. Daily wont be succesfull mertric , as ocassionally only a user may order multiple times in a day , also weekly is also a viable metric but that wont help us to analyse"See full answer

Coach - "Great question Evan, could you please help me with some context. Do you want me to consider Gsuite & Gmail on consumer or limit it to one or the other segment? Limit to B2C on GMAIL Promotions/ Notifications do you want me to include them? Exclude Would you want to consider only Gmail ecosystem or Gmail to All types of users? Any email recipient I would like to start with US as a geo and extrapolate would you be good with that? That's ok. That helps, than"See full answer

Volderdore - "Population of Bangalore - 1.4 cr On an average 4 people live in 1 householde=> 1.4cr/4 => ~35L HouseHolds Out of the 35L Household, 30% household fall below poverty line are not interested in ordering online due to their own personal reasons prefers to visit to the hotel directly and eat instead of ordering online => Thus remaining is ~25L households out of the 25L households, assuming at least 20% of the households place one order on average on any given day will lead to 5L orders"See full answer

Ilnur I. - "I can try to summarize their discussion as I remembered. Linear regression is one of the method to predict target (Y) using features (X). Formula for linear regression is a linear function of features. The aim is to choose coefficients (Teta) of the prediction function in such a way that the difference between target and prediction is least in average. This difference between target and prediction is called loss function. The form of this loss function could be dependent from the particular real"See full answer

Anuradha T. - " I will attempt to answer this. Barnes and Nobles Nook, although Amazon had an advantage in terms of being early to market (2007) with the Kindle, B&N Nook could have been marketed Nook more creatively, given that B&N has access to massive inventories of books in digital format. It fell short of: Focusing on the differentiation in marketing Being aggressive in marketing tactics by promoting the Nook at events, webinars, out-of-store marketing Attracting the user base by highlighting the m"See full answer

Hems S. - "I will start with clarifications: Q: How do you define "healthy" marketplace? A: When there is a balance in demand and supply Q: If we have balance, is it fair to assume, lot of transactions will happen? A: Sure Q: Also, is it fair to assume well known tokens on the platform already have a healthy marketplace with enough buyers and sellers. The problem is mainly with new tokens that will be introduced? A: Thats a fair assumption Q: Its okay to limit scope for this exercise to the CB retail a"See full answer

Kartikeya N. - "Clarifying questions: Can I assume the timeframe to be today, ie Dec 2024? : Yes What country are we targeting? Lets say it is India. When we say "Use google search to find a new job" do we mean to say that they use Google search in their job search process or also convert and actually find a job? : The former. I am assuming we are only considering when someone directly searches jobs on Google and not searches for some job search portal on google: Yes. How long should the search"See full answer

Pulkit G. - "Top 3 segments for the Apple Watch: At core, Apple watch is a wearable companion to the iPhone that does 3 big things - fitness & other health metrics tracking, act as smart watch for push notifications on the go, and acts as a high-tech fashion accessory. Customer segments - a) Fitness and adventure enthusiasts + for everybody (for basic sleep and HR tracking) - the new Apple Watch Ultra is targeted specifically at the outdoorsy (and aspiring adventurists) + also all the Nike integration b) F"See full answer

Rotem L. - "Meta Pay - What is it? Payment platform that lets people buy and send money on Facebook, IG and Instagram on platforms like FB and IG, people already find things they like and the businesses can sell directly on the platform through shops so Pay is closing the last mile and letting them also check out quickly once they’ve added their card details once. It’s making it a real one-stop shop. It also allows making more transactions directly on the platform without having to enter card deta"See full answer

Srikant V. - "Used Recursive approach to traverse the binary search tree and sum the values of the nodes that fall within the specified range [low, high]"See full answer

Kirit K. - "Had to refactor code at recent startup after having it fully deployed and working. This was due to us hitting some performance and UX issues. What I did was refactor the core engine first myself, and then line up a work team to progressively refactor the edges and exception flows that sit around the core. Completed in 4 weeks."See full answer

Dhruv M. - "During my internship at Datavibe Insights, I was initially brought on to assist with routine data cleaning and Excel reporting for the procurement team. My main task was to support weekly report generation, but I noticed inefficiencies in how data from multiple vendors was being manually compiled and formatted each week. Without being asked, I took the initiative to build an automated reporting tool using Excel Power Query and macros. It cleaned, merged, and visualized the data with a few clicks"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

Valentin B. - "Let me first ask some clarification questions / make assumptions: Any specific geographic region? => USA How do we measure bandwith? a. Bandwith is the maximum internet speed required for our google maps servers to support all google maps traffic in the USA. At which point do we measure bandwith? => at the “entrance” of each google server center Do we talk about maximum bandwith required? a. Yes, the maximum BB required to support google maps in the USA (on side of Google) Outline: O"See full answer

M N. - "Let's look at what the goal is- why we want to understand customer satifaction, and understand what actions our users take where we collect user feedback and then figure out the metrics that track these feedback touch points to understand cust satisfaction. Goal: To understand more about customer satisfaction and loyalty with the product to understand any gaps and understand where we stand with the competition, beyond the engagement, retention and revenue metrics. Actions: We have different"See full answer

Megha V. - "Gradient Descent is an optimisation strategy used in several supervised learning models. It is the technique for finding the optimum solution of an objective function. Typically, for a linear regression use case, it is used to find the weights and bias that produce the lowest loss. It involves computing the partial derivative of the objective function with respect to the weight and bias vectors. To find the optima of the function, the derivative is equated to 0, and iteratively the weight and b"See full answer

Sameer S. - "I: Design a banking app for kids S: Sure, let me start with clarifying questions. What is our goal for building this app? I: To create financial literacy early in childhood and also increase our customer base. S: Sure. Are we going to launch it globally or in any specific geography or demography? I: Globally. S: Sure, Any resource or time constraints to keep in mind because I need to prioritize the features on the roadmap based on that? Also, are we launching it on iOS or Android? I: No resource"See full answer

Vishal S. - "Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"See full answer

M N. - "Lyft mission. What do we mean by engagement here? We want higher rides , not just time spent on app. What does social mean? When we create interactions between riders. Lyft line is social. Ideas: Idea: Can we maintain interactions between riders by letting them ride with same people again? Benefit: Increases repeat rides. Idea: Giving riders an option to request a driver they rode with. Benefits: Increases social interaction between riders and drivers. Increases retention and # rides as"See full answer