Interview Questions

Soraya B. - "A load balancer, web application servers and a large database. Database is the core of the application containing the songs and tags related to each song. Application server will provide the search interface to find songs, play them and search them in specific categories or channels."See full answer

Michael N. - "The pain points articulated (no contextual recs, isolating experience, etc.) are pain points in the broader audio listening industry - there's no existing audio product at Meta already and assuming this is a net new product, wouldn't it have made more sense to have pain points specific to Meta? E.g. "there's no sense of real-time community in FB Groups" or "the barrier to engage in FB groups feels high" It almost feels like she just regurgitated things she's learned from her time working on Alex"See full answer

Rahul J. - "Clarifying questions Target market: parents Geo: USA Key value proposition: help people in parenting Target market assessment Reach: Every year, millions of people become parents and they need to take majority of decisions for their children till the child is 18. Frequency: The decision making and guidance is needed on almost every aspect of the child's life - so the frequency is high Importance: Making decision and managing children is one of the most important aspect of people"See full answer

Riku H. - "Before I start, can I ask some clarifying questions? Is Facebook Reels the same as Facebook Watch where a user can go to Watch and consume short clips, react, comment and share them? In terms of measuring success, are you looking at a segment of users like the reel creators or viewers, or is that up to me? (Assume interviewer will say it's totally up to me) Can I also assume that I am looking at the product across platforms as well? Android, iOS, desktop (Assume answer is yes) Thanks fo"See full answer

Karthik R. - "This is yet another classic case of evolution of data landscape to account for diversities in the data formats sacrificing restrictive but key components at first and added later to make the solution more effective. Data warehouse -> Data Lake -> Data Lakehouse (Data Lake + Data Warehouse) Data warehouse - A solution to store data in central place (analytics (read) heavy) with stringent schema (structured). Very useful for historical queries and analytics. Schema on write check. Only used for"See full answer

David P. - "delete"See full answer

Darpan D. - "Clarifying questions and Assumptions ChatGPT search means the search function inside the chat app? OR ChatGPT search Chrome extension? Assumption: Search inside the chat app. Is there any location restriction in this analysis? Assumption: USA only. Is there any user segment restriction in this analysis? Assumption: All user segments. Are we assuming the ChatGPT search already exists or going back in time before the ChatGPT search existed? Assumption: Go back in time"See full answer

DM - "Clarifying my assumptions first, i.e. "Technical contributions are not just writing or reviewing code". Answer : My contributions to any program I lead as a TPM are as follows : Inputs towards design, architecture review, mapping requirements to the proposed design, reviewing the implementation strategy w.r.t scalable solution, Writing core user-centric test scenarios, Validating proposed design vs implementation estimates vs initial planning. etc... Example : Situation: We are a"See full answer

Shyla R. - "Questions Couple of questions to make sure we are on the same page with respect to my overall product understanding and its positioning in the market. Product understanding: FB Pay is a Payment/ Wallet offering using which customers can securely make peer-to-peer payments using Messenger/WhatsApp or even make purchases on FB / Instagram etc. Also, competitors with similar offerings are Apple Pay, Google Pay (to name a few). Is this a fair understanding of the product? Ans: Yes. Cu"See full answer

Anonymous Aardvark - "in simple words, linear regression helps in predicting the value whereas logistics regression helps in predicting the binary classification. But lets talk through some example Linear regression model: E-commerce website pricing recommendation engine is built on linear regression model where we do have some variables such as competitor price, internal economics and consumer demand etc when we put this in a supervised learning model, it helps in predicting prices Logistics regression model"See full answer

Greg L. - "From chatGPT: If Coinbase's net income is 10% less than it was last month, several actions can be considered to address the decrease in profitability. Here are some steps that might be taken: Conduct a Detailed Analysis:Investigate the reasons behind the decrease in net income. Analyze key financial metrics, transaction volumes, fee structures, market conditions, and any external factors impacting revenue. Expense Review:Review and analyze operating expenses. Identify areas where"See full answer

Sandhya N. - "Clarifying Questions: Discover events, purchase/resell via app Post booking: After ticket purchase to event completion Motivation for Ticketmaster: Strengths: 70-80% of ticketing business, tie ups with venues Competition: meetup Low frequency product - so every experience matters Positive wom: Reduced marketing Retention of users, organizers Users: Ecosystem Attendees: Discover, buy and attend events - {chose this} Event Organizers: marketing/demand, s"See full answer

Soumya S. - "In 2019, I was given a very important problem to solve. In a team of 3 we had to build a mobility assist device. The customer segment we would go for was something we could decide. The project was very close to me as I had lost someone I loved because of cancer and I saw how reduced mobility was a huge pain point in not being able to do physical activities. My team could only think of elderly people as the main target market. As the Head of Product what I did was: 1) I helped them dive even d"See full answer

Andrew M. - "Users: Creators We can segment by category of videos made (ie. beauty, entertainment, etc.) We could also segment by age range. Let's just choose self-development channels Pain points: Want to bring you to their website Solution. Portal to their website. Whenever you click on the video, a tab pops up for their website. But, this could be annoying for viewers. Back to the drawing board. What if we made creators into viewers. I am a FinTech Product Manager"See full answer

Praveen D. - "Let me try to explain it with simple life analogy You're cooking dinner in the kitchen. Multithreading is when you've got a bunch of friends helping out. Each friend does a different job—like one chops veggies while another stirs a sauce. Everyone focuses on their task, and together, you all make the meal faster. In a computer, it's like different jobs happening all at once, making stuff happen quicker, just like having lots of friends helping makes dinner ready faster."See full answer

Anonymous Amphibian - "Part 1 - Initial diagnostic questions Question: To start, I want to confirm that this is actually an issue. Have we changed any logging related to DAU in past couple of months? Answer: No Question: Ok, now I'm wondering if this could be a seasonal issue. In the past 6 months, have we seen a similar trend where DAU is down by 10%? Answer: No Question: Ok, to zoom out for a second, let's think about any macro-level factors that may have impacted DAU. Is there any negative public sent"See full answer