Interview Questions

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

Tiago R. - "function addChildren(root, val, inorder) { const rootInOrderIndex = inorder.indexOf(root.value); const childrenInOrderIndex = inorder.indexOf(val); if (childrenInOrderIndex < rootInOrderIndex) { if (!root.left) { root.left = new TreeNode(val); } else { addChildren(root.left, val, inorder); } } else { if (!root.right) { root.right = new TreeNode(val); } else { addChildren(root.right,"See full answer

Joshua R. - "Hadoop is better than PySpark when you are dealing with extremely large scale, batch oriented, non-iterative workloads where in-memory computing isn't feasible/ necessary, like log storage or ETL workflows that don't require high response times. It's also better in situations where the Hadoop ecosystem is already deeply embedded and where there is a need for resource conscious, fault tolerant computation without the overhead of Spark's memory constraints. In these such scenarios, Hadoop's disk-b"See full answer

Niaz - "Assumption about the teleportation machine: Teleportation is instantaneous like Star Trek The product does not take too much space maybe 6 ft by 6 ft and 10ft high is good enough Teleportation works vertically both above ground and underground as well as going 100 meters horizontally If possible you can combine multiple teleportation machine to repeat teleportation Users groups A product like this can be leveraged for almost everyone but I think I want to focus on users who ha"See full answer

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

A B. - "i would follow engage/ listen/understand/collaborate/engage/resolve- approach to manage conflicts. I would explain each phase in a project where I face conflict and how I used above approach to resolve the conflict"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

Rishi G. - "Problem Statement: The Fibonacci sequence is defined as F(n) = F(n-1) + F(n-2) with F(0) = 1 and F(1) = 1. The solution is given in the problem statement itself. If the value of n = 0, return 1. If the value of n = 1, return 1. Otherwise, return the sum of data at (n - 1) and (n - 2). Explanation: The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones, typically starting with 0 and 1. Java Solution: public static int fib(int n"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

Niji R. - "General Approach: In a funnel, prospects that dropped off at the very end just before conversion are the ones that were most likely to convert simply because they went through the effort of going through multiple steps to advance to the very end of the funnel. The more the prospects advances through the funnel, better their probability of converting. I'd therefore focus more on reducing drop-offs at the final stages of the funnel for better conversion. Caveats: There are certain use-cases where"See full answer

Frank A. - "1) create the experimental and control groups. 2) Then calculate the proportion (mean) of the true conversion rates for both groups using the convert column which counts True as 1 and False as 0. This is their conversion rates 3) calculate the statistic of the two groups by subtracting the proportion and standardizing. 4) get the p-value and compare with 0.05. 5) conclude the difference is statistically significant if the p-value is less than 0.05 otherwise no statistical difference"See full answer

Abinash S. - "While running the testloop I am getting an error RuntimeError: runningmean should contain 28 elements not 38. I think it's the difference between the categorical features in train and test. `"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