Interview Questions

Farza S. - "It is the smallest level of significance at which the null hypothesis gets rejected"See full answer

Mark - "Clarifying questions: what's the original goal of this feature? what user problem / issues we identified that we are trying to address? Is there a particular user base or market/regions that we are trying to solve this issue for? Is the experience going to impact the rider's action? or does it also change the driver experience? Assume: the issue we are solving for is focus on the rider's experience - the goal of this feature is to increase the % of matched ride (ie rider/driver matche"See full answer

James W. - "Conflict is unavoidable for any project. The most important part of moving past conflict is to understand why it manifested in the first place. I would start by understanding: What type of conflict is it? 1 on 1, with another team, with another function? What shape it? Is it about communication, strategy, implementation, style? What impact does it have? Will it affect our timelines, how we work together, etc How do I feel about it? Is it a thorn in my side or something"See full answer

Anonymous Condor - "Yes, I need to compare the first half of the first string with the reverse order of the second half of the second string. Repeat this process to the first half of the second string and the second half of the first string."See full answer

Himanshu V. - "Video engagement: time spent, frequency, recency Video completion rate Time spent on Facebook vs Time spent on watching FB videos Video recommendation: Switching from 1st to 2nd and so on "See full answer

Steve M. - "def split_count(s): return 2**(len(s)-1) `"See full answer

Pree M. - "What is shopper demand? Let's say the ability to predict whether x number of shoppers are available during a certain time of day based on a some factors Variables: \# number of orders /per hour /per day /per week Shopping Time: time taken for a shopper to prep an order (how many orders can a shopper prep) $ average order value geographic factors since demand will vary by city number of stores or any other multiplying factor which help us predict order volume (which is dire"See full answer

Michael F. - "Hey Constantin, this answer is a great explanation of reinforcement learning! You describe what an agent, environment, and rewards are. You emphasize the need for exploration, which is what makes reinforcement learning fundamentally different than supervised learning. Since the question specifically asks about deep reinforcement learning, I would also mention specific types of deep learning models that can be used and how they differ from non-deep learning methods. For example, how does deep Q"See full answer

Charu S. - "Engineering efficiency - dev time per launch developer SAT"See full answer

Sagrika S. - "The biggest factor that excites me about technology is its ever changing and dynamic trend. In my life, I have seen the transition from landlines to simple mobile to smartphones, from Cathode tube desktop screen to super slim TFT and many more. I think technology has now (with time) become integral part of human life and getting in-sync with it is like a normal and very cool phenomena."See full answer

Krutarth S. - "Hi, is this question part of the Powerday interview or the Mini-case interview?"See full answer

Derrick M. - "SELECT o.order_amount FROM orders o JOIN departments d ON d.departmentid = o.departmentid WHERE d.department_name = 'Fashion' ORDER BY order_amount DESC LIMIT 1 OFFSET 1; `"See full answer

Anubhav A. - "Started at 10.55 Clarifying questions: This is what I understand from a telemedicine platform -> A platform where users can get advice on medication over the telephone, is this correct? Does the retail company also sell medicines? Is the user aware that the telemedicine platform and the retail company are connected, and can either of the platforms use his data? Is the user engaging with the platform directly, or is there an agent to who he is speaking to via call/text? Does the"See full answer