Start by clarifying requirements and constraints, then outline a high-level architecture that separates UI, data, and domain layers. Focus on how you would implement the list with live updates using Flow and Compose, and handle currency conversion with proper caching and error handling. Emphasize trade-offs and testability.
Pro tip: Demonstrate awareness of real-time data challenges like race conditions and stale data by proposing a single source of truth with unidirectional data flow. Also, mention how you would handle currency conversion rates that update frequently without causing UI jank.
Ask questions to understand the scope: What data is displayed? How often does it update? What currencies need conversion? Are there offline requirements? This shows you think before coding.
Propose a layered architecture: UI (Compose), ViewModel, Repository, and data sources (local/remote). Use Kotlin Flow for reactive streams and define a clear data model.
Describe the composable structure: a LazyColumn for the list, state hoisting, and how to observe live data using collectAsStateWithLifecycle. Mention handling loading, error, and empty states.
Explain how you would use Flow to emit updates from the repository, possibly combining multiple sources (e.g., ride data and currency rates). Discuss backpressure and lifecycle awareness.
Outline a strategy for currency conversion: fetch rates from an API, cache them with expiry, and convert amounts in the domain layer. Consider using a dedicated converter class and handling rounding.
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