Interview Questions

Exponent - "You should be able to identify this as a clear Strategy Question, which asks you to justify high-level business decisions and strategy. One thing to note is the interviewer said "briefly". Be concise and to the point. Here are some good arguments for the Youtube acquisition: > There are a few reasons why Google would want to acquire YouTube. I'll go over a few of the main reasons why I think they went ahead with such a large acquisition. At the time of the YouTube acquisition, Google and You"See full answer

Exponent - "This is a Design a Product question. For this, we'll want to follow the formula for success: Ask clarifying questions Identify user types, behaviors, and pain points State the goal and use cases List current solutions Improvements / net new solutions Evaluate and select solutions Measure Success Summarize Ask clarifying questions It's important to get clarity on anything if things are unclear. Since this ask is quite straightforward"See full answer

Rev - "Clarify: Physical car garage or some app? 1 garage or a chain? Where is it located? (if highway then user seg to be focussed would change) (rn consider a residential area) Objective/ constraints? - majorly revenue i.e. #users * rev/user (acquire more users) Is there some issue and we are trying to address that via features or we just need features to improve the overall user experience? basic idea of garage: Car issue - drop it to garage/ sometimes pickup service - repair time -"See full answer

Pm wizard O. - "I live in a city in California which has about 100,000 people with about 25 -30 gas stations. California has about 39M people in it. with these assumptions we can calculate to find x for number of gas stations in the US. x / 39M x 30/100,000 = 11,700 gas stations"See full answer

Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

Anushka D. - "Clarifying Points/Questions\: What are the specific needs and pain points of hotels and their guests? How can Google Assistant technology be leveraged to enhance the hotel experience? What are the potential monetization and revenue opportunities for such a product? Assumptions\: Hotels are looking for ways to improve guest experience and operational efficiency. Guests expect personalized, convenient, and technologically advanced services. Google Assistant has the capabi"See full answer

Hayatu H. - "What do all data scientists need to know about how to work with very large datasets? 37 Follow Request Answer More All related (39) Recommended 📷 Corrin Lakeland · Follow , M.S. Data Science, University of St. Thomas, St. Paul (2018)6yData Science consultant and managerUpvoted by[Tom Halloin](https://www.quora"See full answer

Kegomoditswe R. - "oracle"See full answer

Srijita P. - "Clarification question: How many subscription plans are offered by Tinder ? If there is more than one subscription plan, then we need to ask is the fluctuation happening across all plans or in a particular one ? Assumption: Let's say lower priced subscription plan is showing the most fluctuation and there are only two types of plans In this subscription plan which age group is showing the most fluctuation (18-24,25-30, 30+ etc) ? Is there any seasonality trend observed (eg: placemen"See full answer