Interview Questions

Mark - "Clarifying questions: what's the original goal of this feature? what user problem / issues we identified that we are trying to address? Is there a particular user base or market/regions that we are trying to solve this issue for? Is the experience going to impact the rider's action? or does it also change the driver experience? Assume: the issue we are solving for is focus on the rider's experience - the goal of this feature is to increase the % of matched ride (ie rider/driver matche"See full answer

Jidesh N. - "Engineering managers may feel like there are several metrics that are essential for their engineering team's productivity. However, velocity, morale, and business metrics are the most important as they help make data-driven decisions, evaluate team performance, and enhance overall business strategy"See full answer

Himanshu V. - "Video engagement: time spent, frequency, recency Video completion rate Time spent on Facebook vs Time spent on watching FB videos Video recommendation: Switching from 1st to 2nd and so on "See full answer

Sagrika S. - "The biggest factor that excites me about technology is its ever changing and dynamic trend. In my life, I have seen the transition from landlines to simple mobile to smartphones, from Cathode tube desktop screen to super slim TFT and many more. I think technology has now (with time) become integral part of human life and getting in-sync with it is like a normal and very cool phenomena."See full answer

Pree M. - "What is shopper demand? Let's say the ability to predict whether x number of shoppers are available during a certain time of day based on a some factors Variables: \# number of orders /per hour /per day /per week Shopping Time: time taken for a shopper to prep an order (how many orders can a shopper prep) $ average order value geographic factors since demand will vary by city number of stores or any other multiplying factor which help us predict order volume (which is dire"See full answer

Rishabh L. - "Pizza Ordering System orderdetail - orderdetailid (PK), orderid (FK), itemid (FK), itemqty, itemized_price order - orderid (PK), customerid (FK), orderdate, locationid (FK), ordertype (DINEIN, PICKUP, DELIVERY), refid (dineinid, pickupid, deliveryid), subtotal, tax, tip, totalamount, payment_method (CASH, CARD) location - locationid (PK), locationdesc, city, state, startdate, enddate customer - customer_id (PK), name, address (nullable), phone (nullable), dob (d"See full answer

Nayla D. - "Instagram is social media app where you can share photo and video to others. Impressions is an important metrics to track because it shows how many contents that users see. Clarify Questions: Is this drop happen suddenly or gradually? - Gradually How long has it been happening? - Last 3 months Is it happen globally or in certain region? - Globally Is the drop happen to all user segments (age, new/existing, active/less active users)? - all user segments When calculating an impressions,"See full answer

Anonymous Mongoose - "Given a Binary Tree, the task is to find its vertical traversal starting from the leftmost level to the rightmost level. If multiple nodes pass through a vertical line, they should be printed as they appear in the level order traversal of the tree. The idea is to traverse the tree using dfs and maintain a hashmap to store nodes at each horizontal distance (HD) from the root. Starting with an HD of 0 at the root, the HD is decremented for left children and incremented for right children. As we"See full answer

Louisa C. - "I think AI such as ChatGPT seemed to spit out its answers fast and instinctively, hence proving its efficiency but in the recent versions it seems to have acquired reasoning skills which was revealed 'transparently' to users. This new, reasoning skills introduce a small delay in its response and explains what it does during the delay but I do not really think that it is "thinking" any differently than before, except that it is constrained by some purported rules when asked to summarise certain b"See full answer

Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer