Interview Questions

Exponent - "This is a fun Fermi problem asked recently by Facebook — an estimation or approximation problem with limited information and back-of-the-envelope calculations. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Breakdown components of your equation Review and state assumptions Compute Sanity Check Summarize Ask clarifying questions It's wise here to slow down and get some clari"See full answer

Exponent - "This is a pretty straightforward Improve a Product question. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewe"See full answer

Sue G. - "Race Condition i,e multiple threads modifying simultaneously can lead to data inconsistency Operations like putIfAbsent() or computeIfAbsent() are not atomoic i.e duplicate entries or missing updates when multiple threads perform operations Data Corruption : during resizing of a hashmap by a thread, if another thread is accessing the same data , buckets can get corrupted, leading to a loss of data"See full answer

Exponent - "This is a classic Favorite Product question with a constrained product type. For this, we want to make sure it's a collaborative tool used between teams. Let's go over the Favorite Product formula before diving in: Choose a product and briefly explain what it is Who are the users? What are their pain points? How did competitors solve it in the past? How does this product address these pain points differently and better? **How would you improve it/make it"See full answer

Indranil G. - "German autobahns are the highways and not city rode. We need to break down the issue into multiple stages. Let's say for the first stage we need to identify the road density. oad density is a very rough guess. Break down the problem further into city road density and non-city road density, and estimating the rough land mass of both. We came to 1km road / square km in non-cities road density , 3.4 million square miles of non-city, that bring us total (3.4 million *1)km - 3400,000 km of road we"See full answer

Basant P. - "When launching a new product at Koovs, I began by conducting a thorough competitor analysis to ensure our pricing strategy was competitive. I then defined the target audience based on demographic and psychographic data. We built a comprehensive multi-channel campaign strategy that included SEO for visibility, targeted SEM ads, and engaging social media content. I used tools like Google Analytics to monitor campaign performance and adjusted our tactics based on the data. For instance, we increase"See full answer