System Design Interview Questions

Usman B. - "System Components Data Collection Layer Posts with hashtags are asynchronously sent to Kafka topics Each message contains: hashtag, timestamp, userid, postid Multiple Kafka partitions ensure scalability and fault tolerance Processing Layer Apache Flink processes streams in real-time Implements sliding window aggregation (1hr, 24hr, 7d windows) Calculates topic popularity using weighted metrics: Post count User engagement (likes, comments) Unique user"See full answer

Ushita S. - "The back-of-the-envelope calculation is very well done!"See full answer

Kshitij A. - "The question is bit vague (I guess deliberately) so I believe firstly we shall ask questions and resolve ambiguity. Some initial questions could be : 1) Is this one time activity or something that should be done on continuous basis. If continuous basis then at what frequency. 2) How much staleness is acceptable in SYSTEM Y data 3) Are there any limitation in SYSTEM Y and is it fair to assume that we would need some kind of transformation to bring data into SYSTEM Y schema. 4) What kind of vol"See full answer

Pathworks P. - "To answer this, I will focus my efforts on explaining the most common type of API used in most modern software development applications - the REST API. For the purpose of simplicity, I will also keep the topics of Authorization and Authentication out of the mix. In essence, an API is a group of logic that takes in a specific set of inputs and responds with a specific set of outputs. This is analogous to going to a drive-thru and placing an order for a meal. When you give an API a bunch of"See full answer

Faraz A. - "Scoped out problem constraints - how much data to download, how many computers, and how much time, how you can be detected (decentralized load). Designed a web crawler."See full answer

Linying W. - "Very helpful! But I have a question: the location of drivers can be changing every minute, so won't reading from location cache returning stale data?"See full answer

M D. - "Understand the business problem: Identify the business problem that the AI data product is intended to solve. Identify the target audience: Understand who will be using the data and what problem they will be solving for using the data. This will inform the features and functionality that should be included in the product. Gather and preprocess the data: Collect and preprocess the data that is relevant to the problem that it is being solved for. This will inform the AI algorithm"See full answer

gdecuri - "Load Balancer, Multiple API Servers, game Service, pub-sub system, HTTP Long Polling for status updates, write-through cache. No SQL DB to store user, game, and move information."See full answer

Krishnan S. - "Excellent job Roshan, really liked the explanation. Which software were you using to explain the system design diagrams?"See full answer

Anup S. - "Inventory Service and Registration service can they be in SYNC always ?? The "experience layer" needs accessed by Hotel owners also ??? How does real time inventory come from all Hotels ???"See full answer

Praveen - "I will start with discussing the Google mission statement, which is to organize the world's information and make it easily accessible to everyone to help them get things done, and make their day a bit easier. I will think about building something that will leapfrog this mission. Google has already organized all of the world's public digital information in the current state. There are opportunities to get more information into a digital form. But there are also significant improvements in mak"See full answer

V V. - "Simple file system ( Hash Map , LSM trees), and consistent hashing. I failed to discuss about conflicts ( Versioning)"See full answer

Scott S. - " Functional Requirements Content Ingestion\: Ingest news articles from various sources (websites, social media, etc.). Handle different types of content (text, images, videos). Content Analysis\: Extract and preprocess text from articles. Analyze the content for potential indicators of fake news. Model Training and Prediction\: Use machine learning models to classify content as fake or real. Continuously improve models with new data and f"See full answer

Srinivasa R. - "Any more details about this can make it easy"See full answer

Kurt K. - "Why skip defining the data model? Or did I just miss it?"See full answer

Graig - "Do any one know how to build trie using IP address?"See full answer

Chris C. - "Here are the key entities to design a relational schema for a calendar application: User - userid, email, firstname, lastname Calendar - calendarID, calendarName, caledanUserID, defaultUIView, created, updated, status Event - eventID, eventName, eventUserID, isRecurrence, startDateTime, endDatetime EventReminder - eventID, reminderMethod(email, notification), reminderTime, reminderTimeUnit(min, hr, day) Event guest - eventID, userID, isRequired, acceptStatus"See full answer

Farhan I. - "What software is being used to draw the design?"See full answer