"Designing a system to track review abuse on Amazon.com involves detecting fraudulent, manipulative, or biased reviews while ensuring genuine customer feedback isn't mistakenly flagged. Here's a high-level breakdown:
1. Goals
Detect and prevent fake or abusive reviews.
Maintain integrity and trust in the review system.
Support scalability for millions of products and reviews.
2. Key Abuse Scenarios
Fake positive reviews (e.g., sellers boosting their own products).
Fake"
Tesfaye M. - "Designing a system to track review abuse on Amazon.com involves detecting fraudulent, manipulative, or biased reviews while ensuring genuine customer feedback isn't mistakenly flagged. Here's a high-level breakdown:
1. Goals
Detect and prevent fake or abusive reviews.
Maintain integrity and trust in the review system.
Support scalability for millions of products and reviews.
2. Key Abuse Scenarios
Fake positive reviews (e.g., sellers boosting their own products).
Fake"See full answer
"
Design & Architecture Overview:
The system was a scalable, cloud-based web application built to manage customer data and automate service requests.
Frontend:
React.js: Chosen for its component-based architecture, reusable UI, and fast rendering using Virtual DOM.
Backend:
Node.js with Express.js: Selected for non-blocking I/O, scalability, and rapid API development.
Database:
MongoDB: Used for its flexible schema, scalability, and ease of handling unstructured data.
Authentication:
JWT"
Ilakiya R. - "
Design & Architecture Overview:
The system was a scalable, cloud-based web application built to manage customer data and automate service requests.
Frontend:
React.js: Chosen for its component-based architecture, reusable UI, and fast rendering using Virtual DOM.
Backend:
Node.js with Express.js: Selected for non-blocking I/O, scalability, and rapid API development.
Database:
MongoDB: Used for its flexible schema, scalability, and ease of handling unstructured data.
Authentication:
JWT"See full answer
"The below system design addresses the requirements for a scalable distributed onboarding service, focusing on robust data validation, asynchronous processing, real-time aggregation, and efficient querying of metadata.
Core Principles:
Asynchronous Processing: Decouple components to ensure high throughput and responsiveness.
Scalability & Elasticity: Utilize technologies that can scale horizontally to handle varying loads.
Data Durability & Integrity: Ensure no data l"
Anonymous Mongoose - "The below system design addresses the requirements for a scalable distributed onboarding service, focusing on robust data validation, asynchronous processing, real-time aggregation, and efficient querying of metadata.
Core Principles:
Asynchronous Processing: Decouple components to ensure high throughput and responsiveness.
Scalability & Elasticity: Utilize technologies that can scale horizontally to handle varying loads.
Data Durability & Integrity: Ensure no data l"See full answer
"1. Requirements Analysis
Functional Requirements
Video streaming with multiple quality levels
Content browsing and search
Continue watching functionality
Content recommendations
Non-Functional Requirements
Low latency video delivery (<2s startup time)
High availability (99.99% uptime)
Scalability to handle millions of concurrent streams
API response time < 100ms
2. Microservices Architecture
Core Microservices
Content Service
Content metadata mana"
Vince S. - "1. Requirements Analysis
Functional Requirements
Video streaming with multiple quality levels
Content browsing and search
Continue watching functionality
Content recommendations
Non-Functional Requirements
Low latency video delivery (<2s startup time)
High availability (99.99% uptime)
Scalability to handle millions of concurrent streams
API response time < 100ms
2. Microservices Architecture
Core Microservices
Content Service
Content metadata mana"See full answer
"Step 1: Clarifying the Problem Scope
Assumptions and basic system requirements:
Cashless payments: The machine supports cashless payment methods like credit cards, mobile wallets, or NFC-based payments (e.g., Apple Pay, Google Pay).
Multiple candy options: The machine offers different types of candy.
Inventory management: The system tracks the stock of candy in real-time.
User interface: A display screen for users to select the type of candy, make payments, an"
Ramendra S. - "Step 1: Clarifying the Problem Scope
Assumptions and basic system requirements:
Cashless payments: The machine supports cashless payment methods like credit cards, mobile wallets, or NFC-based payments (e.g., Apple Pay, Google Pay).
Multiple candy options: The machine offers different types of candy.
Inventory management: The system tracks the stock of candy in real-time.
User interface: A display screen for users to select the type of candy, make payments, an"See full answer
"The interviewer was interested how the system design would be for files, directories, symbolic links.
After proposing my idea, I was asked to print all files for a given path."
B. T. - "The interviewer was interested how the system design would be for files, directories, symbolic links.
After proposing my idea, I was asked to print all files for a given path."See full answer
"Step 1: Clarifying the Problem Scope
We will focus on designing the leaderboard for Dream11 with these assumptions:
Registered teams: 100,000 users are actively participating and ranked.
Real-time updates: Leaderboard updates frequently as players accumulate points based on live sports events.
Multiple leagues: Each user can participate in different leagues, so we will need to maintain a separate leaderboard for each league.
Query efficiency: Users frequently"
Ramendra S. - "Step 1: Clarifying the Problem Scope
We will focus on designing the leaderboard for Dream11 with these assumptions:
Registered teams: 100,000 users are actively participating and ranked.
Real-time updates: Leaderboard updates frequently as players accumulate points based on live sports events.
Multiple leagues: Each user can participate in different leagues, so we will need to maintain a separate leaderboard for each league.
Query efficiency: Users frequently"See full answer
"
To clarify on what we are trying to solve for and get the definition of a distributed scheduler straight . So A Distributed Scheduler refers to a system that can handle job scheduling and execution in a scalable and fault-tolerant manner by distributing the workload across multiple servers or nodes.
we will make some assumptions with the design , as follows:
we will assume 10,000 QPS for job submissions and should be able query for jobs status .
Job execution should have minimal latency"
Scott S. - "
To clarify on what we are trying to solve for and get the definition of a distributed scheduler straight . So A Distributed Scheduler refers to a system that can handle job scheduling and execution in a scalable and fault-tolerant manner by distributing the workload across multiple servers or nodes.
we will make some assumptions with the design , as follows:
we will assume 10,000 QPS for job submissions and should be able query for jobs status .
Job execution should have minimal latency"See full answer
"I tried solving this problem and here is the recorded video for the answer.
https://www.youtube.com/watch?v=d1tOkeQjyI4
And here is the link to Excalidraw board - https://excalidraw.com/#json=uabNFHcZm5qNh8CInMvyh,Wn9Vf1ZhGdl_iBCQYFkYdw"
Rjj - "I tried solving this problem and here is the recorded video for the answer.
https://www.youtube.com/watch?v=d1tOkeQjyI4
And here is the link to Excalidraw board - https://excalidraw.com/#json=uabNFHcZm5qNh8CInMvyh,Wn9Vf1ZhGdl_iBCQYFkYdw"See full answer
"Functional Requirement
Ingest Book Reviews in real time
User in the website needs specify title tho search books, return response is the list of reviews on the books.
Non Functional Requirement:
User get real-time book reviews>
It nees to handle the search among 1 million of active users daily"
Simon O. - "Functional Requirement
Ingest Book Reviews in real time
User in the website needs specify title tho search books, return response is the list of reviews on the books.
Non Functional Requirement:
User get real-time book reviews>
It nees to handle the search among 1 million of active users daily"See full answer
"The DNS server of the site URL can identify the source of the traffic via GeoIP and redirect it to the Amazon services closest to that location. The load balancer, installed before the web server, can manage the load and redirect traffic to redundant services."
Beth S. - "The DNS server of the site URL can identify the source of the traffic via GeoIP and redirect it to the Amazon services closest to that location. The load balancer, installed before the web server, can manage the load and redirect traffic to redundant services."See full answer
"Since there is a need for the data to be accurate and consistent without any latency to allocate a spot, can't the data be synchronously synced to replicas after every write as the number of writes are not many per min, instead of read lock phenomena
Let me know if i am on a wrong thought here."
Chitapuram N. - "Since there is a need for the data to be accurate and consistent without any latency to allocate a spot, can't the data be synchronously synced to replicas after every write as the number of writes are not many per min, instead of read lock phenomena
Let me know if i am on a wrong thought here."See full answer
"Rate Limiter is to limit the number of request from a particular IP Address. Rate limiter will block the IP address to reduce the load on server. It should be highly available and handle concurrent requests. Blocked IP addresses should be kept in a pool which is present in shared cache. We need to keep threshold value after it reaches threshold value it should start blocking IP address.
All these ip address to be kept in No SQL DB. Batch will run that will clear the cache and delete all the bloc"
Ashish G. - "Rate Limiter is to limit the number of request from a particular IP Address. Rate limiter will block the IP address to reduce the load on server. It should be highly available and handle concurrent requests. Blocked IP addresses should be kept in a pool which is present in shared cache. We need to keep threshold value after it reaches threshold value it should start blocking IP address.
All these ip address to be kept in No SQL DB. Batch will run that will clear the cache and delete all the bloc"See full answer
"I started asking some questions regarding the constrains of the system:
An antena is emitting a signal that says if the tagged device was out of the room where the interview was happening.
I was able to decide which would be the schema for the Antena's message.
The antena is sending the info of multiple users.
The system doesn't need to push notification to the users when the user left the device behind.
Upon reflection, this is what I recollected doing.
I propuse the json schema a"
Eduardo C. - "I started asking some questions regarding the constrains of the system:
An antena is emitting a signal that says if the tagged device was out of the room where the interview was happening.
I was able to decide which would be the schema for the Antena's message.
The antena is sending the info of multiple users.
The system doesn't need to push notification to the users when the user left the device behind.
Upon reflection, this is what I recollected doing.
I propuse the json schema a"See full answer
"It would have been more interesting to focus on the system design rather than the Trie DS, Interviewee could have just mentioned the Trie and passed to things more important.
Interviewee should have focused on the factors on which he wants to scale the API servers, popularity of the query parts ? region may be ? A hash of many factors ?
Caches should have definitely be discussed, Cache eviction policies, Cache invalidation managements...
Interviewee should have mentioned which kind of API pro"
Aymen D. - "It would have been more interesting to focus on the system design rather than the Trie DS, Interviewee could have just mentioned the Trie and passed to things more important.
Interviewee should have focused on the factors on which he wants to scale the API servers, popularity of the query parts ? region may be ? A hash of many factors ?
Caches should have definitely be discussed, Cache eviction policies, Cache invalidation managements...
Interviewee should have mentioned which kind of API pro"See full answer