Interview Questions

Exponent - "This is one of the core behavioral questions that you should expect to cover in any interview. In particular, it asks you to justify why you want to work at a specific company that you've applied for. There's no right answer for this, however we do recommend you list at least three distinct reasons. Here's an example of what you might say: > That's a great question. There are three main reasons why I'd want to work on Twitter's Ads team:Building an impactful product > Working on marketplaces > M"See full answer

Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows: Ask clarifying questions List potential high level reasons Gather Context (TROPIC)Time Region Other features / products (internal) Platform Industry / Competition Cannibalization Establish a theory of probable cause Test theories Propose solutions Summarize "See full answer

Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"See full answer

Asish B. - "The supply and demand for Uber Eats may be greatly impacted in the near future by the two macroeconomic factors listed here. Each trend links to large alterations in consumer behavior, labor markets, and cost structures that can cascade across the delivery ecosystem. Changes in Consumer Spending and Inflation Growing Costs and Fees for Food: Customers may order fewer deliveries or choose less expensive goods if food prices, restaurant running costs, or delivery fees increase as a result of"See full answer

Yatin K. - "I conducted an in-depth analysis of FedEx's business model, focusing on their primary operations which encompass pickup, transit, and delivery. I evaluated potential metrics across each stage, aiming to determine the most pertinent one for operational insights. Initially, I proposed using the Fulfillment Ratio, calculated as the number of successful deliveries divided by the expected deliveries, to measure performance. However, the interviewer pointed out this metric's retrospective nature and"See full answer

Matt M. - "Given the dataset does not contain many labels, it implies we cannot directly use supervised learning. I would ask more about the type of dataset we are given. Is it images, text, etc? This may inform the types of transformations we do the dataset. I can see two approaches to training Given the labels we do have, we can find a method to generate labels for the other unlabeled data. This likely will introduce some error since they may not be true labels, but it at least allows processing the"See full answer

Exponent - "This is a Strategy Question, which asks you to justify high-level business decisions and strategy. Before jumping in, we should evaluate which type of strategy question we're attempting to answer and propose multiple reasons or solutions. Let's go over one possible solution: > There's a few reasons why Facebook may have built the portal. My top three reasons would be:Investing in smart home > Owning more upstream value > XR Integration > Investing in smart home > One hypothetical reason"See full answer

B. T. - "You are given a string S and a number K as input, and your task is to print S to console output considering that, at most, you can print K characters per line. Example: S = "abracadabra sample" K = 11 Output: abracadabra sample Note that this problem requires the interviewee gather extra requirements from the interviewer (e.g. do we care about multiple white spaces? what if the length of a word is greater than K, ...)"See full answer

Gal B. - "1. Clarifying Questions Before setting up metrics, I’d ask the following questions to clarify the scope and context of the product: What types of insights does the app provide? Are they focused on engagement (e.g., active users, message trends), security (e.g., flagged messages, compliance risks), or operational efficiency (e.g., team performance, usage patterns)? Who are the admins? Are they IT administrators, department leads, or HR managers? Their specific roles may define"See full answer

Surbhi G. - "When we collect too much user data or survey responses, we risk creating data overload, which can hinder data analysis by clouding important insights with excessive, unnecessary information. This could make it more difficult to discern meaningful patterns or trends from the data, adding complexity to our data processing tasks and potentially leading to incorrect conclusions or strategies. Furthermore, over-collecting data may compromise users' privacy and trust. If users find out that a company"See full answer