Spent the first few minutes just listing features which was probably the wrong move.
Start by clarifying requirements and scope, then outline a high-level architecture that covers data flow, storage, and serving. Focus on scalability, low latency, and personalization, and discuss trade-offs between different design choices.
Pro tip: Emphasize how you would leverage AWS services like CloudFront, S3, and DynamoDB to achieve low latency and high availability, and discuss how to handle peak traffic with auto-scaling and caching.
Ask questions to understand the scope: expected user base, content types (articles, images, videos), personalization needs, offline support, and update frequency.
Propose a client-server architecture with a CDN for static assets, API gateway for dynamic content, and microservices for different functionalities (e.g., content delivery, user profile).
Discuss database choices (e.g., DynamoDB for user data, S3 for media, Elasticsearch for search) and caching strategies (Redis, CDN) to ensure low latency.
Explain how to implement personalized content using user behavior data, machine learning models, and real-time processing (e.g., Kinesis, Lambda).
Address auto-scaling, load balancing, fault tolerance, and monitoring to handle traffic spikes and ensure high availability.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.