LinkedIn Interview Questions

Preethi B. - "How would you improve LinkedIn's homepage? Firstly I would like to think about: 1) Goals and Constraints 2) User and the user personas 3) Prioritize the Use cases / Painpoints 4) Brainstorm on possible solutions for the chosen use case If that's fine by you! In terms of Goal: 1) Revenue 2) Active Users/Engagement - MAU These are three goals I can think of for improving the LinkedIn homepage. We are looking to generate more revenue, increase the number of monthly active users. I would"See full answer

Saumya G. - "1) What is a target market? 2) Finding target markets for international Age Location Gender Income level Education level Marital or family status Occupation The ethnic background of your customers Also, I want to evaluate our target audience psychographics. Different nations have different cultures and ethical values. Global buying trends. Know the countries where there is high demand for your product. Past sales reports. Look at your past sales to find patterns on"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

Vaibhav D. - "Make current as root. 2 while current is not null, if p and q are less than current, go left. If p and q are greater than current, go right. else return current. return null"See full answer

Anonymous Panda - "h"See full answer

Geo J. - "check y the -ve effect - ask them to solve that."See full answer

Akshat A. - "LinkedIn is a Corporate/Professional Networking platform. We will analyze the following factors before the launch: How many people of the demography are on LinkedIn I will make sure Learning platform content is approved, verified and required for interviewing for a specific role in a corporate Create a Learning Community where people who opt for the LinkedIn learning platform share their experience of the completed course and how it helped them get an interview opportunity with the comp"See full answer

Delyan P. - "On the topic of personalisation the main complexity comes from stitching the data together so that you can create a curated and hopefully personal experience for the consumers (e.g. product offer that match user's interest). Since the existing technology we use, especially on the app, do not support some of of the BE foundations needed to personalize omni-channel the main complexity is in integrating with the BE services especially creating connected data pipelines. My main contribution is in"See full answer

Divya S. - "LinkedIn is a pioneer in the tech industry brining global workforce together. LinkedIn is one of the few companies where you can work on the latest tech stack but also work on meaningful and high impact product problems, processes issues and Customer experiences that I can very well relate with. It a place where people from all over the world can connect, Innovate and celebrate their careers. I feel excited about the opportunity as it fully aligns perfectly with my desire to expand, Connect,"See full answer

Tiago R. - "function isPalindrome(s, start, end) { while (s[start] === s[end] && end >= start) { start++; end--; } return end <= start; } function longestPalindromicSubstring(s) { let longestPalindrome = ''; for (let i=0; i < s.length; i++) { let j = s.length-1; while (s[i] !== s[j] && i <= j) { j--; } if (s[i] === s[j]) { if (isPalindrome(s, i, j)) { const validPalindrome = s.substring(i, j+1"See full answer

Ameet A. - "Identify the problems and list down, showcase the benefits and what stakeholders will get out of analytics platform, how proposed tool can support the org strategy goals and can achieve more faster, how the analytics tool will solve the existing problems"See full answer

Rg - "Used prefix & postfix sums, resetting the product when 0 was found"See full answer

John C. - "Professional, congenial people"See full answer

Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer