My first instinct was to just narrate the browser request lifecycle like a textbook and call it done.
Structure your answer as a chronological narrative from click to render, explicitly calling out the client, network, backend, and rendering layers. For each layer, highlight one key product trade-off (e.g., latency vs. freshness, security vs. usability) and tie it back to Meta's scale and user experience goals.
Pro tip: Anchor your answer in a concrete Meta product example (e.g., clicking a link in News Feed) and quantify the impact of each decision—e.g., 'a 100ms delay can reduce engagement by X%'—to show product sense and technical depth.
Describe how the browser or app intercepts the click, including event handling, prefetching, and any client-side routing (e.g., React Router) that may prevent a full page reload.
Explain the steps from URL parsing to DNS lookup, TCP/TLS handshake, and HTTP request, noting caching, CDNs, and protocols like HTTP/2 or QUIC.
Outline how the request hits Meta's edge servers, is routed to microservices (e.g., GraphQL, Thrift), and how data is fetched from caches and databases.
Detail how backend services aggregate data (e.g., user info, post content) and apply business logic, including any personalization or ranking algorithms.
Cover how the response is rendered on the client (e.g., SSR, hydration, client-side rendering) and flag performance optimizations (lazy loading, code splitting) and security measures (CSP, HTTPS, sanitization).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.