Interview Questions

Abdul K. - "Clarification questions: a. Is this platform like YouTube to post cooking videos by homechefs? b. Is this like Doordash where homechef’s can sell home cooked food? Response: Feel free to assume. I’m assuming to build a marketplace platform where homechef’s can sell their home cooked food. c. Are we looking to build a webapp/mobile native app Response: Mobile native app (iOS and Android) d. Which markets are we focusing on? Global or North America or USA **Response: I would focus on"See full answer

Moyosore abosede A. - "Understand the product itself, the company's vision and goals, the customers who uses the products, work closely with the product designer, sources of resources and seek the opinions from my team, product backlog refinement, work closely with the scrum master and cross functional team."See full answer

Darpan D. - "Clarifying and Assumptions Is there any specific geography we need to restrict to? Assumption: Total worldwide. Is there any specific segment we need to restrict to? Assumption: All segments. Number of users Total worldwide users: 300,000,000 Storage per user Slice the users into 3 segments. Low users 80% Free tier 2 GB per user available Using the 80-20 rule for segmentation. Medium users 10% Basic paid tier 2 TB per user available Usi"See full answer

Anonymous Panda - "Goal: To design a product that helps people keep track of their belongings and prevent loss. Identifying users: Individuals who frequently lose their belongings Parents who want to keep track of their children's belongings Tourists who want to secure their belongings while travelling Selecting the right user:Given Google's expertise in technology, we will focus on designing a product for individuals who frequently lose their belongings. Defining features and prioritizing: Item tracki"See full answer

Anonymous Unicorn - "input = [ {"topic": 1, "chapter": 1, "section": 1}, {"topic": 2, "chapter": 2, "section": 1}, {"topic": 3, "chapter": 2, "section": 2}, {"topic": 4, "chapter": 1, "section": 1}, {"topic": 5, "chapter": 1, "section": 1}, {"topic": 6, "chapter": 2, "section": 2}, {"topic": 7, "chapter": 2, "section": 2}, {"topic": 8, "chapter": 2, "section": 3}, ] expected_output = [ {'chapter': 1, 'sections': [ {'section': 1, 'topics': [ {'top"See full answer

Sourabh M. - "First Contextual Questions: Opportunities & Threats for whom? Assuming for Google Maps only Approach: Google’s Vision & Mission > Where does Maps fit into that? Analysing use case that Google Maps serve? SWOT Analysis My View ## Google Vision & Mission: To organize world’s information and make it universally accessible and useful Google Maps Strategic Fit: _Google Maps provides organization of geographic information, allows users to change/add/delete c"See full answer

Exponent - "You should be able to identify this as a Measure Success question. These kinds of questions are used to test your analytical skills, as well as your ability to track project progress post-launch. Recall the strategy for tackling them methodically and thoroughly: Ask clarifying questions State the goal of the feature / product Behavior Mapping / UX Flow Mapping Provide criteria to prioritize metrics Prioritize metrics Summarize Let's begin! Ask cl"See full answer

Anonymous Muskox - "Opportunity cost, cost of improving the feature, and its's further benefits. Overall business objective, Business stage. [Let's say we haven't acquired much of the customers, so thinking about improving the service won't be a good idea. We should try to scale when it is required.]"See full answer

The_ A. - "The best and average of both the algorithms is same which is O(nlog(n)), but the worst time complexity of QuickSort is O(n^2){a case where all the elements are sorted in opposite to the fashion/order you want} while the worst TC for merge sort remains the same O(nlog(n)). and The SC for QS=O(logn) and MS=O(n)."See full answer

Mitchell K. - "How important are behavioral interview questions? Do technical interviewers even look at my resume?"See full answer

Jiin S. - "I would firstly see what's the trend of the sales by monthly, daily, and yearly to see when was the decline started and what happened during that time. I would also look at the sales by different customer or product segmentation to see what segment had the most decline in sales. Then, I would make some hypothesis where like for this age range customers with this product segment had a decline in sales due to XXX and we would increase the sales by YYY with this new feature. Then I would design the"See full answer

Xuelong A. - "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."See full answer

Divyani .. - "Did the code in Python"See full answer

Matthew K. - " function diffBetweenTwoStrings(source, target) { /** @param source: string @param target: string @return: string[] */ let dp = new Array(source.length+1).fill().map(() => Array(target.length+1).fill(0)) for (let i = source.length; i>= 0; i--) { for (let j = target.length; j>= 0; j--) { if (i === source.length) { dpi = target.length - j } else if (j === target.length) { dpi = sou"See full answer