Amazon Interview Questions

Nithesh S. - "First, let us start with the mission of Amazon: “We strive to offer our customers the lowest possible prices, the best available selection, and the utmost convenience.” Alignment of recommendations system with Amazon's mission: Suggesting recommendations to the users would be a part of this mission as it would allow users to buy things on their mind for the lowest cost in market (may or may not be true). They might get better prices if they order adjacent items together. For example, i"See full answer

Scott S. - "To recount an experience from my last project . We were at the initial stages of designing a new data platform to enhance our trading analytics capabilities. The conflict arose over the selection of a data processing framework. I was advocating for Apache Spark due to its scalability and performance benefits, especially for handling large volumes of derivatives data. Another senior team member preferred a different technology they had more experience with, which they believed would be easier to"See full answer

Dhruv M. - "During my internship at Insighta Analytics, our team was planning to prioritize a marketing campaign focused on customer acquisition through social media ads. The marketing lead was confident this would yield the best ROI based on past success. I was tasked with supporting the strategy by analyzing customer engagement trends. But as I dove into the data, I started to question whether the current direction was the best use of our budget. I analyzed customer conversion data from the last two quart"See full answer

Zakery K. - "I told a story about having good intentions to help out a superior with a problem but I did so without seeking buy-in (permission) first. While I did solve the problem and provided value to him and my other colleagues, I was reprimanded for crossing boundaries and not respecting his privacy (I accessed his computer without his permission to deliver a resolution to a problem). While I had good intentions and the outcome was good, my approach left me with a negative mark and a life long lesson r"See full answer

Anjali M. - "Colleague moved to a different role, so I decided to fill in and did outshine in showing results within the group."See full answer

Pm P. - "Alexa: Is the virtual assistant that runs on amazon smart speakers as well as on other devices. Clarification on goals/Objectives: What would the goal at that point of time be? Is it increase in revenue ? Either via new customers i.e. adoption or Increasing the wallet share of the customer? Increasing the sales ordered via Alexa ? Why do people want to use Alexa? To get answers, make their lives easier by automating activities within their home Integrates with amazon account so"See full answer

Adib M. - "Useful article on API migration https://www.linkedin.com/pulse/tips-successful-api-migration-pooja-nihalani/"See full answer

Catherine T. - "We want sales to grow, in order to have a growth in revenue. And customer usage as well as it allows to see if our product lead more engagement from our users. So to be able to see this overall evolution I would make a line chart for both : Sales : with month on x-axis and sales revenue on y-axis Customer Usage : with month on x-axis and a KPI allowing to measure customer usage (nblogins or nbsessions or nbgamesplayed, ... depending on the industry) on y-axis Moreover, after knowing th"See full answer

Surbhi G. - "While serverless computing has its merits due to removing the need for server management and auto-scaling abilities, several challenges might arise when deploying machine learning models using this setup. Cold-start latency is a key issue where an Amazon Lambda function, for example, would take more time than usual to run after being idle. This could affect the performance of real-time ML applications negatively. A way to keep the functions warm might be required to avoid this latency. Moreover,"See full answer

Tes d H. - "Here is my first shot at it. Please excuse formatting. To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this: Represent the nodes and their dependencies using a dictionary. Perform a DFS on each node to find the maximum depth of the dependencies. Keep track of the maximum depth encountered dur"See full answer

Amir R. - "The key feature of echo is voice assistance. The demography for that audience has the following key behavior or use cases: Tech-savvy folks Use the voice assistant for their work (dictation service like writers, doctors, etc) Use for the driving assistance Use for the disabled Security and home automation."See full answer

An D. - "Understanding the Basics Choosing Learning Resources Practicing and Applying Knowledge Seeking Help and Staying Updated Leveraging Modern Tools"See full answer

Ben G. - "Situation - A time I saw a peer struggling was while I was at Google working in Mountain View. A fellow colleague of mine was consistently not meeting standards in his performance reviews and wasn’t sure why. He was upset because Google was his dream company and he wasn’t sure how to improve based on his feedback. Task - I was tasked to design a based VUI framework for our discovery space on smart displays. This colleague was acting as the VUI lead for the project while I acted as t"See full answer

Ben G. - "In my time as a product designer, I’ve seen a transition of growth from something that is visually appealing to what is actually useful / functional / scalable. I think as designers, we are afraid to let things go such as the visual fidelity of design and how something could be useful but not necessarily have the flash of a more consumer based product. I think when we learn to let that go, we can see the scale of our impact and that we aren’t just people who make something look good/pretty but t"See full answer