Amazon Interview Questions

Vijay P. - "Explained in STAR format one of the project situation where I had to collect data points by deploying a minimum viable product due to unclear business requirements/dynamic nature of business. Emphasized on exact data points and how they strategically used to iteratively deploy improved version of product."See full answer

Nithesh S. - "Before getting into the solution aspect, let us revisit Amazon's mission. Mission: Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Participants: Therefore any improvement in the marketplace should be in sync with this thought process. Participants in the marketplace have both buyers and sellers. We can improve the platform either of them or both of them. **Wh"See full answer

Scott S. - " Situation In the derivatives trading domain, timely and accurate data is crucial for making informed trading decisions. Our existing data processing system was facing challenges with latency and scalability, which hindered our ability to react swiftly to market changes. To address these issues, we designed a new real-time market data processing platform. Task The task was to develop a low-latency data processing platform that could handle real-time market data ingestion, processing, an"See full answer

Pm P. - "Clarification: What does "share" imply? is it the action of sharing the app or website ? My assumption here we are not talking about stock market share :P, other factors come into play there. Diving-in: I would like to classify the questions into 2 buckets Internal Do we have data on which platform the shares increases and split up by Mobile and if mobile via app or via browser, split by apple/android, split via desktop, tablet . Essentially source of the shares. What this will t"See full answer

Catherine I. - "I always ask to clarify if this is a brand new team. If so, then I focus on bringing in people with strong technical aptitudes(since I'm hiring for software engineering), but also team members that have experience mentoring and good communication is a must. I look for people who have leadership qualities. I emphasize that building a brand new team isn't something I can do on my own, so the initial hires of that team are very important to help me expand it."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

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

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

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

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 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

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

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

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