Data Handling & Apis Interview Questions

Pagination implementation includes: 1) Page size management, 2) Infinite scroll integration, 3) Cursor-based pagination, 4) Page caching strategies, 5) Loading state handling, and 6) Error recovery mechanisms. Consider implementing progressive loading for better user experience.

Timeout handling includes: 1) Configurable timeout settings, 2) Retry mechanisms implementation, 3) User feedback for timeouts, 4) Fallback content display, 5) Connection status checking, and 6) Recovery strategies. Consider implementing progressive timeout intervals.

Multi-device sync requires: 1) Conflict resolution strategies, 2) Data versioning system, 3) Sync status tracking, 4) Merge strategy implementation, 5) Device identification, and 6) Offline capability handling. Consider implementing differential sync for efficiency.

Response compression strategies include: 1) GZIP compression handling, 2) Response size optimization, 3) Decompression implementation, 4) Content-Encoding handling, 5) Transfer size monitoring, and 6) Bandwidth optimization. Consider implementing progressive loading for large responses.

Backup/restore implementation includes: 1) Data export mechanisms, 2) Import validation, 3) Version compatibility checks, 4) Progress tracking, 5) Error handling and recovery, and 6) Backup scheduling. Consider implementing incremental backup strategies.

Request queuing patterns include: 1) Queue priority management, 2) Retry logic implementation, 3) Queue persistence, 4) Batch request handling, 5) Queue status monitoring, and 6) Error handling strategies. Consider implementing request debouncing and throttling.

Data transformation includes: 1) DTO pattern implementation, 2) Mapping strategy definition, 3) Validation rules application, 4) Schema version handling, 5) Type conversion management, and 6) Error handling in transformations. Consider implementing caching for transformed data.

API documentation practices include: 1) OpenAPI/Swagger integration, 2) Type definition maintenance, 3) Example request/response documentation, 4) Error code documentation, 5) Version change tracking, and 6) Authentication documentation. Consider implementing interactive API documentation.

Search/filtering implementation includes: 1) Query parameter handling, 2) Filter criteria management, 3) Search algorithm optimization, 4) Result caching strategies, 5) Progressive loading of results, and 6) Search history management. Consider implementing fuzzy search capabilities.

Ionic applications support multiple HTTP request handling methods: 1) Angular HttpClient for Angular apps, 2) Fetch API for React/Vue apps, 3) Axios for any framework, 4) Native HTTP plugin for device-specific features, 5) XMLHttpRequest for legacy support, and 6) Capacitor HTTP plugin for native functionality. Each method has specific use cases based on requirements and platform needs.

Offline data synchronization requires: 1) Local storage implementation, 2) Queue system for offline operations, 3) Conflict resolution strategies, 4) Background sync implementation, 5) Data versioning system, and 6) Error handling for failed syncs. Additional considerations include data integrity checks and sync status tracking.

API error handling best practices include: 1) Implementing global error interceptors, 2) Proper error type categorization, 3) Retry mechanisms for failed requests, 4) User-friendly error messages, 5) Logging and monitoring setup, and 6) Fallback strategies. Also important is handling network-specific errors and timeout scenarios.

Data caching implementation involves: 1) Cache storage strategy selection, 2) Cache invalidation policies, 3) TTL (Time-To-Live) implementation, 4) Cache size management, 5) Cache update strategies, and 6) Offline cache access. Consider using IndexedDB for large datasets and localStorage for smaller data.

Ionic provides multiple storage options: 1) Ionic Storage for cross-platform abstraction, 2) LocalStorage for simple key-value pairs, 3) IndexedDB for large datasets, 4) SQLite for native database storage, 5) Capacitor Storage API, and 6) Native storage plugins. Selection depends on data size, complexity, and platform requirements.

WebSocket implementation includes: 1) Socket connection management, 2) Real-time event handling, 3) Reconnection strategies, 4) Message queue implementation, 5) State synchronization, and 6) Error recovery mechanisms. Important considerations include handling connection drops and message reliability.

Large dataset handling strategies include: 1) Virtual scrolling implementation, 2) Pagination or infinite scroll, 3) Data chunking and lazy loading, 4) Efficient data structure use, 5) IndexedDB for storage, and 6) Memory management optimization. Consider implementing data compression and cleanup strategies.

Secure API authentication requires: 1) Token-based authentication implementation, 2) Secure token storage, 3) Token refresh mechanisms, 4) Request interceptors for auth headers, 5) Session management, and 6) Secure logout handling. Additional security measures include SSL pinning and biometric authentication where appropriate.

HTTP Interceptors provide: 1) Request/response transformation, 2) Global error handling, 3) Authentication header injection, 4) Loading state management, 5) Response caching, and 6) Request retry logic. They enable centralized handling of HTTP communication aspects.

File handling implementation includes: 1) File selection using native plugins, 2) Progress tracking implementation, 3) Chunked upload support, 4) Background transfer handling, 5) File type validation, and 6) Error recovery mechanisms. Consider platform-specific file handling requirements.

API caching best practices include: 1) Cache-Control header usage, 2) ETag implementation, 3) Last-Modified handling, 4) Cache invalidation strategies, 5) Selective caching rules, and 6) Cache size management. Consider implementing stale-while-revalidate pattern.

Data validation implementation includes: 1) Form validation rules, 2) Custom validators creation, 3) Server-side validation integration, 4) Real-time validation feedback, 5) Error message handling, and 6) Cross-field validation logic. Consider implementing both client and server-side validation.

Rate limiting strategies include: 1) Request queuing implementation, 2) Retry mechanism with backoff, 3) Rate limit header handling, 4) Request prioritization, 5) User feedback for limits, and 6) Cache usage optimization. Consider implementing request batching where appropriate.

Data encryption implementation includes: 1) Secure key management, 2) Data encryption at rest, 3) Secure transmission protocols, 4) End-to-end encryption setup, 5) Key rotation policies, and 6) Encrypted storage implementation. Consider platform-specific encryption capabilities.

API versioning patterns include: 1) Version header implementation, 2) URL versioning handling, 3) Version fallback strategies, 4) API compatibility checks, 5) Version migration handling, and 6) Documentation maintenance. Consider implementing gradual version deprecation.