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 a Strategy Question, which asks you to justify high-level business decisions and strategy. There's no set formula, but we recommend proposing at least three different reasons to answer the question. Let's go over one possible solution: > There's definitely a lot we could talk about, but I'll try to stay as focused as possible and talk about the three biggest ways it could have affected HelloFresh the most. Fulfillment Issues from Rapid Growth > I first imagine that HelloFresh expe"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

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

Exponent - "This question is quite straightforward. The key to this is to be concise and specific. > An endpoint is essentially the destination of an API call. The endpoint returns specific data depending on which endpoint was called. An example of a POST request is when a user signs up or logs in. Some data is posted and validated on the server (like a login email and password). An example of a GET request is when viewing another user's page. There's likely an endpoint that gets data like the person's name"See full answer

Teja G. - "Modernizing banking legacy systems and applications The modernization process typically involves moving from mainframe-based legacy platforms to solutions based on cloud and other modern digital technologies"See full answer

Exponent - "This is a Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know. Recall the formula for Fermi problems: Ask clarifying questions Catalog what you know Make equation(s) Think about edge cases to add to equation **Breakdown components of your equat"See full answer

Tim F. - "One project that stands out involved building a customer segmentation dashboard for our marketing team using Power BI. The goal was to help them target campaigns more effectively by segmenting customers based on purchase behavior and demographics. Early in the project, I noticed significant data quality issues in the source tables coming from our CRM system. There were missing values in key fields like customer age and region, duplicate customer IDs, and inconsistencies in how product categories"See full answer

Arindam G. - "Objective: Primary Goal: Maximize long-term user engagement and retention while balancing monetization. Secondary Goal: Improve relevance of content, ensuring users enjoy their feed. Key Metrics User Engagement → Session Length Ad Revenue → conversion rates, revenue per user. Friend Network Growth → New connections, follow-up engagement with new friends. Retention Rate → How often users return after seeing either an ad or recommendation. Inputs & Signals for the Sy"See full answer

Shibin P. - "Effective loss functions for computer vision models vary depending on the specific task, some commonly used loss functions for different tasks: Classification Cross-Entropy Loss:Used for multi-class classification tasks. Measures the difference between the predicted probability distribution and the true distribution. Binary Cross-Entropy Loss:Used for binary classification tasks. Evaluates the performance of a model by comparing predicted probabilities to the true binary labe"See full answer

Ayushi A. - "total outcomes : 36 total favourable outcomes : 35 probability of favourable outcomes: 35/36"See full answer

Mark S. - "Range captures the difference between the highest and lowest value in a data set, while standard deviation measures the variation of elements from the mean. Range is extremely sensitive to outliers, it tells us almost nothing about the distribution of the data, and does not extrapolate to new data (a new value outside the range would invalidate the calculation). Standard deviation, on the other hand, offers us an insight into how closely data is distributed towards the mean, and gives us some pr"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