Interview Questions

Krutarth S. - "Hi, is this question part of the Powerday interview or the Mini-case interview?"See full answer

My N. - "Partner with IoT manufacturer new smart product, phone in the center Bundle google personal security subscription with IoT package Commercial package security, industrial use case medical device, airplane, ship, vehicle management, maintenance and remote usage Public sector smart cities"See full answer

Tiago R. - "function swap(arr, i, j) { const temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; } function sortKMessedArray(arr, k) { for (let i=0; i < arr.length; i++) { for (let j=1; j <= k; j++) { if (arr[i+j] < arr[i]) { swap(arr, i, i+j); } } } return arr; } `"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

Claudia S. - "s3 blob storage? It's Google not Amazon."See full answer

Hans - "Described a bug I found on an app designed for a specific make of tablet. In this sequence I described: The app the bug was found in The priority and severity of the bug That it was a regression to an existing working piece of functionality The hardware and the firmware on the device the bug occurred on The steps that led to me finding the bug and how it manifested itself Talked about how we debugged from the point of view of: Code Component Deployed application Comparison to"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

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

Cristian A. - "At a personal level: Happiness index, how happy are you in the team (smile faces on each retrospective) Mastery, how do you help the team to grow. Be present, how each member communicates, and how participative the team members are in the activities. Performance metrics: Cycle-time, the time someone takes to end a task/issue. Quality, how many bugs are associated with your code. Reviews, how many times, and how you help the team to move forward. "See full answer

John F. - "First, I would like to establish some assumptions about the problem to determine if this is possible. For this scenario, I will assume that “accepted” does not mean a student is enrolled at the university (most students apply to multiple universities and can only attend one university). For simplicity, I will also assume that each student is applies to a single department and that every student is associated with a single department. Based on this information, I see a scenario that this would"See full answer

Tes d H. - "Here is my first shot at it. Please excuse formatting. To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this: Represent the nodes and their dependencies using a dictionary. Perform a DFS on each node to find the maximum depth of the dependencies. Keep track of the maximum depth encountered dur"See full answer

Josh L. - "I would define success by first figuring out what our goal is by building the reels feature. Are we trying to increase DAUs? Increase enagement? Etc... For the sake of this, I think to define success it makes most sense to see if there is an increase in the amount of time users are spending on instagram. If time spent per user increases, it is likely that ad spend can increase and in turn increases instagram's reveue. We need to be sure that there are guard rails in place and make sure that by"See full answer