Amazon Interview Questions

Jatin S. - "A project charter is a formal document that authorizes a project and outlines its objectives, scope, stakeholders, and key details. It serves as an agreement among stakeholders and provides a clear foundation for the project by defining what needs to be done and why. Typically, the project sponsor issues the project charter to the project manager or team, formally initiating the project. A project charter typically includes the following key elements to ensure a comprehensive and clear unde"See full answer

Imran R. - "What are some of the Tradeoff stories Amazon prefers? Do they prefer the Feature Prioritization type of tradeoff or technology/platform type of tradeoffs? "See full answer

Rishabh L. - "Pizza Ordering System orderdetail - orderdetailid (PK), orderid (FK), itemid (FK), itemqty, itemized_price order - orderid (PK), customerid (FK), orderdate, locationid (FK), ordertype (DINEIN, PICKUP, DELIVERY), refid (dineinid, pickupid, deliveryid), subtotal, tax, tip, totalamount, payment_method (CASH, CARD) location - locationid (PK), locationdesc, city, state, startdate, enddate customer - customer_id (PK), name, address (nullable), phone (nullable), dob (d"See full answer

Anonymous Angelfish - "Not at all impressed. Very simple problem he is solved"See full answer

Rahul P. - "Providing some bullets to expand on to respond to this question- Inability to adapt to the changes in customer's needs in retail industry Lack of competitive analysis Rigid business model Lack of well defined Vision and Strategy"See full answer

Anonymous Unicorn - "Count items between indices within compartments compartments are delineated by by: '|' items are identified by: '*' input_inventory = "*||||" inputstartidxs = [1, 4, 6] inputendidxs = [9, 5, 8] expected_output = [3, 0, 1] Explanation: "*||||" 0123456789... indices ++ + # within compartments ^ start_idx = 1 ^ end_idx = 9 -- - # within idxs but not within compartments "*||||" 0123456789... indices "See full answer

Ali H. - "SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable."See full answer

Anonymous Crayfish - "Let me tell you about a time when I solved a problem at my previous company (one of the top 10 Fortune 500 companies). This was an internship and I was coming with almost 2 years of experience and 2 semesters of my graduate program. My experiences have mostly been theoretical or with startups. I've never solved problems at scale. The first week at this team was slow and relaxed, it was just onboarding. The real work started from the 2nd week when I felt like I was pushed into the ocean with n"See full answer

Dhruv M. - "During my internship at Inspira Analytics, our intern team had worked for two weeks on a client presentation for a new data dashboard. Unfortunately, during the final review, the manager pointed out several major flaws in our analysis and asked us to redo the entire structure. The feedback was blunt, and the team felt discouraged, questioning whether our efforts were even valued. As the informal team lead, I felt responsible for helping lift the team’s morale and refocus everyone so we could del"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

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

Ilnur I. - "I can try to summarize their discussion as I remembered. Linear regression is one of the method to predict target (Y) using features (X). Formula for linear regression is a linear function of features. The aim is to choose coefficients (Teta) of the prediction function in such a way that the difference between target and prediction is least in average. This difference between target and prediction is called loss function. The form of this loss function could be dependent from the particular real"See full answer

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