Interview Questions

Pankhuri T. - "If I would be the PM for the workplace, First I might have some clarifying questions like workplace have many features Are we looking at some specific feature of workspace application , assuming right now that we are looking the workspace application as a whole and want to know the success metric for the entire application? Is it safe to assume that since Workplace is a meta product so it's mission becomes to give people the power to build community and bring the world closer together. No"See full answer

Anonymous Newt - "CQ: Goal - connect two large continents, reduce the distance Is it a motorable bridge -? Any specific use case on mind? Summarise: come up with the use cases of the bridge Google’s mission -> organise world’s information and make them more accessible and useful A bridge that way is a great way to reduce the distance between two large separate continents. This bridge can help spread information faster Possible Use cases of the bridge: Transportation of physical goods: Since road tran"See full answer

Faraz A. - "Scoped out problem constraints - how much data to download, how many computers, and how much time, how you can be detected (decentralized load). Designed a web crawler."See full answer

Otto yhoda A. - "Context: While working as a Senior Systems Engineer at Indra on a project for BBVA, I was primarily responsible for building ETLs and optimizing data pipelines using Spark and Scala. Action: During a critical deployment phase, our QA lead had to leave unexpectedly due to a personal emergency. With no one available to manage testing coordination, I volunteered to step in — even though it wasn’t my formal responsibility. I quickly reviewed the test cases, communicated with stakeholders, an"See full answer

Rupam S. - "Are you serious? What kind of dog is it? Why would a dog watch Netflix? What kind of movies do they like? Why are we only considering dogs? What’s wrong with cats? Are they going to play movies by themselves? Is it for pet dogs or stray dogs? Who will pay the subscription fees for them? "See full answer

Logan S. - "Clarify the Goal (What Does Success Look Like?) Asked: Why is DoorDash launching bikes for Dashers? Is it to: Expand Dasher availability in dense urban areas? Lower delivery times or costs? Increase access to work for those without cars? Each possible goal shapes the metrics differently. Broke Metrics into Categories: Operational Metrics Measure how well bikes are functioning as a delivery method. Average delivery time (bike vs car/walk) Order completion rate for bike Dashers On-t"See full answer

Raoul S. - "Total number of successful conversations (Weekly). Success measured by sharing AI output or success indicators (e.g. Like)"See full answer

Simer S. - "I would start by asking a clarifying question - Is there a specific problem we are trying to solve? I want to get some guidance from the interviewer around the type of answer they're looking for or if there's specific paths they want us to take. Ultimately, I would start by identifying the users and moving through the process by identifying pain points and then potential solutions. It is important to start to get into the details of the solutions and features once pain points have been identifie"See full answer

Henry H. - "Overall, a successful Netflix viewing session requires that the user was able to find a piece of content that they loved watching. Now, to break this down, how we might define this: -Time browsing (from app open to content played) -Satisfaction --> inferred satisfaction: did user complete watching the piece of content? --> explicit: did the user rank that they loved the content (2 thumbs up)? The way I would evaluate a new Top Picks ML feature would be to implement an A/B test as follows: Te"See full answer

Kiley S. - "Set Success metrics for Google Maps: Assuming we are focusing on mobile experience… Clarify the product: Overall, it is a directions app: Gets you from point a to point b Allows for several methods of transportation - car, public transit, walking, biking, rideshare After entering location, you click your transport method, and select get directions which leads you to steps to get to you location or if you are driving or walking it speaks to you giving youthe directions aloud based on sett"See full answer

Irene C. - "Of course! Let me outline a general approach and ask questions along the way to see if any one path makes more sense to follow. On my general approach: I think it's important to start with a strategic goal or purpose the museum is trying to accomplish with this product. That way we have a north star. From there I'll identify a couple user types we could solve for. Once aligned, I can drill down to potential pain points and solutions of different magnitude. How does that agenda sound? For our"See full answer

Linying W. - "Very helpful! But I have a question: the location of drivers can be changing every minute, so won't reading from location cache returning stale data?"See full answer

Maritza C. - "First, I would make the following assumptions to solve this question without instant feedback. Assumptions: The main use cases for the refrigerator will be to maintain food in the right temperature and will not include making ice cubs or pouring water The only disability of the user is blindness Then, I would identify the main flows used when maintaining food refrigerated, which are: Putting food into the fridge Taking out food out of the fridge Within these flow these are som"See full answer

Anjali P. - "Question and video tagged not same. "See full answer

Kshitij A. - "The question is bit vague (I guess deliberately) so I believe firstly we shall ask questions and resolve ambiguity. Some initial questions could be : 1) Is this one time activity or something that should be done on continuous basis. If continuous basis then at what frequency. 2) How much staleness is acceptable in SYSTEM Y data 3) Are there any limitation in SYSTEM Y and is it fair to assume that we would need some kind of transformation to bring data into SYSTEM Y schema. 4) What kind of vol"See full answer

Usman B. - "System Components Data Collection Layer Posts with hashtags are asynchronously sent to Kafka topics Each message contains: hashtag, timestamp, userid, postid Multiple Kafka partitions ensure scalability and fault tolerance Processing Layer Apache Flink processes streams in real-time Implements sliding window aggregation (1hr, 24hr, 7d windows) Calculates topic popularity using weighted metrics: Post count User engagement (likes, comments) Unique user"See full answer