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A movie theatre sells the three concession stand items listed below: · Popcorn = $3 · Snickers = $4 (or five for the price of three) · Soda = $2 Implement a web application for the movie theatre that allows a user to add the above items to a shopping cart and calculates the total for the given collection of items. For example, the following basket should total up to $23. · 3x Popcorn · 5x Snickers · 1x Soda Deliver your solution as a web application using a modern client-side framework such as Angular, Ember, Backbone, etc. Your solution should be able to run in Chrome.
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Senior Software Engineer

Interviewed at Comscore

3.5★
Jul 19, 2018

A movie theatre sells the three concession stand items listed below: · Popcorn = $3 · Snickers = $4 (or five for the price of three) · Soda = $2 Implement a web application for the movie theatre that allows a user to add the above items to a shopping cart and calculates the total for the given collection of items. For example, the following basket should total up to $23. · 3x Popcorn · 5x Snickers · 1x Soda Deliver your solution as a web application using a modern client-side framework such as Angular, Ember, Backbone, etc. Your solution should be able to run in Chrome.

You are a Product Manager who works with a data engineering team and a machine learning team at Eventbrite. An increasing number of internal customers at the company want to use more data in their parts of the Eventbrite platform. Those customers need guidance and support to be able to deliver great data-driven product experiences to creators and attendees with an efficient software development cycle. Please describe three example products for these customers to help them see how data can improve the end-user experience. These may come from any sector: risk, consumer recommendations, internal tools, etc. and keep in mind that there are three interesting implementation strategies to explore: batch (e.g. overnight), streaming/micro-batch (e.g. real-time or near-real-time), and event-driven (e.g. publish/subscribe). For one of those example products, please describe: How would you work with your engineering teams to bring it to reality? What products, services, or processes will you recommend? What infrastructure could they use to power these use cases? What limitations would be implied?
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Senior Product Manager

Interviewed at Eventbrite

3.5★
Feb 17, 2020

You are a Product Manager who works with a data engineering team and a machine learning team at Eventbrite. An increasing number of internal customers at the company want to use more data in their parts of the Eventbrite platform. Those customers need guidance and support to be able to deliver great data-driven product experiences to creators and attendees with an efficient software development cycle. Please describe three example products for these customers to help them see how data can improve the end-user experience. These may come from any sector: risk, consumer recommendations, internal tools, etc. and keep in mind that there are three interesting implementation strategies to explore: batch (e.g. overnight), streaming/micro-batch (e.g. real-time or near-real-time), and event-driven (e.g. publish/subscribe). For one of those example products, please describe: How would you work with your engineering teams to bring it to reality? What products, services, or processes will you recommend? What infrastructure could they use to power these use cases? What limitations would be implied?

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