Interview Questions

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

Satish murthy D. - "It is very easy to shy away and not make a decision because you might feel the right information is not there to make a decision While dealing with ambiguity it is essential to remain Calm. And Establish what it is you want to achieve by asking a lot of questions to the necessary stakeholders Access the risk, analyze the data at hand, ask the right questions, and be very clear and concise in decision-making"See full answer

Siddhant S. - "We'll consider cost-effectiveness, environmental impact, convenience, and scalability. Here are key metrics and trade-offs to consider: Cost Metrics Operational Costs: Compare the direct costs associated with operating each mode of transit, including vehicle maintenance, fuel or energy, and driver salaries. Subsidization Level: Assess how much subsidy each option requires per ride or per passenger to remain free or low-cost to employees. Cost Efficiency: Analyze the cost p"See full answer

Mathursan B. - "Each song has a playback event that stores information (region, timestamp, etc.) and push to real-time streaming platform and eventually lands into data storage where another service could consume is periodically(say every minute) to compute aggregate counts for the last 7 days. The system can then fetch the top 10 songs by sorting based on playback events using timestamp, optionally filtered by region or genre."See full answer

Philip C. - "Initial Assumptions I’m going to assume that this is a blue sky question, and there aren’t any constraints in terms of geo, funding, etc. With that in mind, one deeply unoptimized product is… a parking meter. I’ll assume for the sake of this answer that we’re focusing on parking in an urban environment since that’s where most parking-related friction exists. I’m also going to assume that we’re a startup and don’t have any special strengths/ weaknesses that we need to account for"See full answer

Scarlett S. - "(This is debugging, then trade off question) WAU and email open rates can be influencing each other, especially an email opened and then clicked could lead to an active user, but it doesn't necessarily mean that they have correlations or be the only reason causing changes. The approach So we definitely need to look at each cause of Why MAU goes up, and why email notification open rates go down, then develop some hypothesis on for proper cause, I'd love to gather some info to narr"See full answer

Elle M. - "As a project or program manager to influence effectively without direct authority, focus on building credibility and trust by consistently delivering results, demonstrating empathy for stakeholder needs, and aligning everyone on shared goals. When managing up, tailor communication to leadership’s priorities and concerns—bring actionable insights, clear data, and potential solutions to the table. When managing down, empower teams by promoting ownership, offering timely recognition, and maintainin"See full answer

Tony A. - "There are two parts to this questions: Part 1: Why did Meta create Rooms? ( limiting to video collaboration) Answer: Potential reasons for Meta to create their own Zoom equivalent: Provide a video collaboration platform to employees. Due to size and global distribution of its workforce it may make economic sense to make an in-house product that is cheaper than buying an enterprise license of Zoom Meta already has the technology and infrastructure to do videocalls and meetings because of"See full answer

Alan T. - "I want to work at Meta because of its reputation as a company that consistently pushes the boundaries of technology, particularly in areas like AI, machine learning, and immersive technologies such as AR and VR. I admire Meta's mission to bring people closer together and create meaningful connections, as well as its focus on long-term innovation, such as the development of the metaverse. As an AI engineer, I'm excited about the opportunity to work on cutting-edge projects that have a global impa"See full answer

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

Sean L. - " import pandas as pd def findaveragedistance(gps_data: pd.DataFrame) -> pd.DataFrame: #0. IMPORTANT: get the unordered pairs gpsdata['city1']=gpsdata[['origin','destination']].min(axis=1) gpsdata['city2']=gpsdata[['origin','destination']].max(axis=1) #1. get the mean distance by cities avgdistance=gpsdata.groupby(['city1','city2'], as_index=False)['distance'].mean().round(2) avgdistance.rename(columns={'distance':"averagedistance"}, inplace=True) "See full answer

Claudia S. - "What is a "cache controller"? With no more details it's difficult to tell what this question is about."See full answer

Niaz - "Clarification questions: Does this include Street view photos, which includes (roads & highways, underwater & insider building and walking street view photos) ? No, for this question we will only look at photos taken via satellites. Google earth photographs the entire earth including land and oceans ? Yes Components of the equation (Square mile covering land x Number of photos per sq mile x Size of each photo x cost) + (Square mile covering ocean x Number of photos per"See full answer

Will I. - "Is it bad to get the answer a different way? Will they mark that as not knowing Bayes Theorem or just correct as it is an easier way to get the answer? The way I went is to look at what happens when the factory makes 100 light bulbs. Machine A makes 60 of which 3 are faulty, Machine B makes 40 of which 1.2 are faulty. Therefore the pool of faulty lightbulbs is 3/4.2 = 5/7 from machine A and 1.2/4.2 = 3/7 from Machine B."See full answer

Ds S. - "Initially I asked clarifying questions like whether the tree can be empty or not and asked the interviewer to explain what is meant by left view and the explanation for the sample inputs. Then I came up with the level order traversal approach where we visit each level in the binary tree at once using a queue and at each level print the value of the first node. Interviewer seemed satisfied with the approach and asked me to code it up. Finally gave the time and space complexity of the solution."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

Christopher K. - "Amazon is releasing a product recommendation carousel. Q1. How would we approach this launch with executive leadership? Q2. How would you obtain the data to find out if you should launch and what sample size should your testing batch be for an A/B test scenario? Clarifying Questions What is the current goal for the product recommendation - Increase sales How does the current product recommendation view look like on the home page - A mosaic list view Are there any existing custome"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