Interview Questions

Bhavna S. - "Before diving into the Solution, I would ask a few clarifying questions. What is the scope of the fake news What type of fake news are we focusing on - Political, Health-related, etc Are we looking at specific examples or a general category of fake news When you say impact, what do you mean by that? Is it time spent on posts, the nature of the engagement (e.g., likes, shares, comments), and the sentiment of the comments? User Demographics: what is the demographic pr"See full answer

Scott S. - "To recount an experience from my last project . We were at the initial stages of designing a new data platform to enhance our trading analytics capabilities. The conflict arose over the selection of a data processing framework. I was advocating for Apache Spark due to its scalability and performance benefits, especially for handling large volumes of derivatives data. Another senior team member preferred a different technology they had more experience with, which they believed would be easier to"See full answer

Satesh A. - "I dont know is good and you should use however than but."See full answer

M N. - "Driver retention is important to ensure growth since we need healthy retention of existing drivers while we acquire new drivers so that we meet growing demand. Should we look at a specific driver segment to improve retention? We might divide the drivers by their age on the platform: New drivers(less than 3 months since first ride), Medium age (3mos to 1 year), Long term(1+ years). Let's focus on the medium term since I assume them to be the biggest segment. Now lets try to list out possible pr"See full answer

Surbhi G. - "While serverless computing has its merits due to removing the need for server management and auto-scaling abilities, several challenges might arise when deploying machine learning models using this setup. Cold-start latency is a key issue where an Amazon Lambda function, for example, would take more time than usual to run after being idle. This could affect the performance of real-time ML applications negatively. A way to keep the functions warm might be required to avoid this latency. Moreover,"See full answer

Beginner P. - "Skeleton: Mission Metrics to improve User segments & the segment with most impact User journey Pain points and opportunities Features/solutions & prioritization Starting with Twitter's mission, "the power to create and share ideas & information without any barriers", we are looking to empower people to be both consumers and generators of content. Are these users interacting with Twitter on the website or the mobile app? [Clarifying with interviewer, who answers mobile app.] "See full answer

Alick C. - "The first step is to engage the coworker. Listen to their request and try to understand the root cause of the discomfort. Is it internal or is it the environment that the team operates in, is it a specific individual. Having an open conversation, I believe adds to a culture of being open to discussions for feedback. Depending on the response, would work together with the coworker to identify means or ways that can reduce/remove the discomfort and what can produce an ideal working environment. Th"See full answer

Ram - "Clarification Are we focusing on building the product on a specific Meta platform (Facebook, Instagram, WhatsApp), or is this a standalone effort? Is the product digital or physical? Are we targeting internal (employees) or external (customers) users? Are there any specific constraints like funding, resourcing, or geography? 1. Narrowing Down the Problem Awareness and Education: Create tools to increase understanding of climate change and its effects. -"See full answer

Anjali M. - "Colleague moved to a different role, so I decided to fill in and did outshine in showing results within the group."See full answer

Ben G. - "Situation - A time where I had to collaborate with a team member in another department was while I was at Google working on my hotel project and had to work with the legal department for our OOBE flow. Task - I was tasked to work cross functionally with the legal department to lead the design of the out of box experience for our product to ensure our guest users were sure of policies around data and privacy. Action - In order to establish cadence and effective relationship building, I set up a t"See full answer

Siddharth P. - "I believe these are the traits of a great PM. I see PM to be somone who is a great manager of customer problems and for that he/she has to be: Be an expert at the one domain and know the customer of the product in that domain and curate experiences for them better than the competition. Be persuasive - Get things done by convincing rather than commanding. Learn how great products are by being an engineer. Be a fearless leader by championing teams ideas all the way to the management la"See full answer

Unicorn 2. - "Clarifying questions: What is leisure travel? Assuming : Travel for vacation not business What is the vision/mission of the company that we are developing this for (I would like to keep this as an anchor to any users, pain points, solutions that we pick) Assuming : Brand new company - startup. Nothing specific in vision/mission for now. When we say travel user experience -> Do we have an existing product that we want to improve on? Is yes, is there any particular complaint or metric issue rel"See full answer

SG - "Clarifying questions - Alexa HW, Alexa SW, Alexa particular feature? Assumption - Pick any. Picking HW due to relevance with my background. Any particular pain point that we are trying to address, or any specific goal that I should be aware of? Assumption - None. Mine to pick. Goal for Amazon is to be the most customer centric company. To extend the same vision - With Alexa HW our goal is to provide the best customer experience possible. **Restating problem state"See full answer

Akheel M. - "Product recommendation is basically on what you have already viewed / listened etc. It would be based on your clicks, engagement and feedback as well.It mostly works on the most recent experience and sorted by the current experience first ( meeting the above criteria) followed by the relevant sorts by most positive responses in the categories recorded for you."See full answer

Yash G. - " import lombok.*; import lombok.extern.slf4j.Slf4j; import org.springframework.boot.CommandLineRunner; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.stereotype.Component; import org.springframework.stereotype.Repository; import org.springframework.stereotype.Service; import java.util.*; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentMap; import java."See full answer

Bala G. - "WITH ActiveUsersYesterday AS ( SELECT DISTINCT user_id FROM user_activity WHERE activity_date = CAST(GETDATE() - 1 AS DATE) ), VideoCallUsersYesterday AS ( SELECT DISTINCT user_id FROM video_calls WHERE call_date = CAST(GETDATE() - 1 AS DATE) ) SELECT (CAST(COUNT(DISTINCT v.userid) AS FLOAT) / NULLIF(COUNT(DISTINCT a.userid), 0)) * 100 AS percentagevideocall_users FROM ActiveUsersYesterday a LEFT JOIN VideoCallUsersYesterday v ON a.userid = v.userid;"See full answer

Dinar M. - "I used array to append. np.array does not have append and every np.vstack recreates object again. import numpy as np class Centroid: def init(self, location, vectors): self.location = location # (D,) self.vectors = vectors # (N_i, D) class KMeans: def init(self, n_features, k): self.nfeatures = nfeatures self.centroids = [ Centroid( location=np.random.randn(n_features), vectors=[] # I"See full answer

Anonymous Boa - "Clarifying questions: what exactly do we mean by travel product? Travel recommendation. Travel bookings( airlines/hotels) Itinerary planning etc. Is it going to be a completely new digital product or an extension of instagram? Assuming travel product here means recommendations/bookings, and it going to be an extension within instagram, lets dwell further: Meta's vision: To make the world a closer place by offering connections; build communities. Instagram's mission: To capture , c"See full answer

Kapil P. - "Sounds like both the features requests address different problems, although it should be clarified in my opinion. I'd try to dig deep into why the customers are raising the requests to uncover the pain points. Questions like the following would help: "How are you currently solving it?" "What does it mean for you in terms of Cost or productivity?" (based on the context of the product) "Have you searched for an alternative?" Descriptive answers for the above questions should tell us if the"See full answer

Clayton P. - "I've watched all the ML Systems designs interviews and this solution provides a clean baseline for predicting ETA using historical averages, but it falls short of addressing the broader problem of route planning. The system predicts ETA for a given segment and time interval, but it doesn’t explain how to compute the ETA for an entire route or how to integrate this into dynamic path selection. It also lacks depth on handling real-time data, adapting to distribution shift, or reacting to sudden"See full answer