1. What is the impact of hooks on test performance?
Basic
Hook impacts: 1) Setup/teardown overhead, 2) Resource allocation costs, 3) Database operation time, 4) File system operations, 5) Network request delays. Optimize hooks for better performance.
2. What is the role of timeouts in test performance?
Basic
Timeout considerations: 1) Default timeout settings, 2) Per-test timeouts, 3) Hook timeouts, 4) Async operation timing, 5) Timeout impact on test speed. Balance between reliability and speed.
3. What impact does mocking have on performance?
Basic
Mocking impacts: 1) Mock creation overhead, 2) Stub implementation efficiency, 3) Mock cleanup costs, 4) Memory usage, 5) Mock verification time. Balance between isolation and performance.
4. What strategies exist for optimizing test data factories?
Advanced
Factory optimization: 1) Efficient data generation, 2) Caching strategies, 3) Resource management, 4) Memory optimization, 5) Cleanup procedures.
5. How can you measure test execution time?
Basic
Measuring methods: 1) Use --reporter spec for timing info, 2) Implement custom reporters for timing, 3) Use console.time/timeEnd, 4) Track slow tests with --slow flag, 5) Monitor hook execution time.
6. How do you identify slow tests?
Basic
Identification methods: 1) Use --slow flag to mark slow tests, 2) Implement timing reporters, 3) Monitor test duration, 4) Profile test execution, 5) Track resource usage. Example: mocha --slow 75.
7. How can test parallelization improve performance?
Basic
Parallelization benefits: 1) Reduced total execution time, 2) Better resource utilization, 3) Concurrent test execution, 4) Improved CI/CD pipeline speed, 5) Efficient test distribution.
8. How do you optimize async test execution?
Basic
Async optimization: 1) Use proper async patterns, 2) Avoid unnecessary waiting, 3) Implement efficient promises, 4) Handle concurrent operations, 5) Optimize async cleanup.
9. How can test data management affect performance?
Basic
Data management impacts: 1) Data creation time, 2) Cleanup overhead, 3) Database operations, 4) Memory usage, 5) I/O operations. Optimize data handling for better performance.
10. What strategies exist for optimizing test suites?
Moderate
Suite optimization: 1) Group related tests, 2) Implement efficient setup, 3) Optimize resource usage, 4) Use proper test isolation, 5) Implement caching strategies.
11. How can memory usage be optimized?
Moderate
Memory optimization: 1) Proper resource cleanup, 2) Minimize object creation, 3) Handle large datasets efficiently, 4) Implement garbage collection, 5) Monitor memory leaks.
12. How do you optimize test reporters?
Moderate
Reporter optimization: 1) Use efficient output formats, 2) Minimize logging, 3) Implement async reporting, 4) Optimize data collection, 5) Handle large test suites.
13. How do you handle performance profiling?
Moderate
Profiling approaches: 1) Use Node.js profiler, 2) Implement custom profiling, 3) Monitor execution times, 4) Track resource usage, 5) Analyze bottlenecks.
14. How do you optimize test execution in CI/CD?
Advanced
CI/CD optimization: 1) Pipeline optimization, 2) Resource allocation, 3) Cache utilization, 4) Parallel execution, 5) Result handling.
15. How do you implement performance benchmarking?
Advanced
Benchmarking implementation: 1) Metric definition, 2) Measurement tools, 3) Analysis methods, 4) Comparison strategies, 5) Reporting systems.
16. What are best practices for optimizing test setup?
Basic
Setup optimization: 1) Use beforeAll for one-time setup, 2) Minimize per-test setup, 3) Share setup when possible, 4) Cache test resources, 5) Use efficient data creation methods.
17. How do you optimize database operations in tests?
Moderate
Database optimization: 1) Use transactions, 2) Batch operations, 3) Implement connection pooling, 4) Cache query results, 5) Minimize database calls.
18. What strategies exist for optimizing network requests?
Moderate
Network optimization: 1) Mock network calls, 2) Cache responses, 3) Batch requests, 4) Implement request pooling, 5) Use efficient protocols.
19. What advanced strategies exist for test parallelization?
Advanced
Advanced parallelization: 1) Custom worker pools, 2) Load balancing, 3) Resource coordination, 4) State management, 5) Result aggregation.
20. What factors affect test execution speed in Mocha?
Basic
Key factors include: 1) Number and complexity of tests, 2) Async operation handling, 3) Test setup/teardown overhead, 4) File I/O operations, 5) Database interactions, 6) Network requests, 7) Resource cleanup efficiency.
21. What are patterns for optimizing file I/O?
Moderate
I/O optimization: 1) Minimize file operations, 2) Use buffers efficiently, 3) Implement caching, 4) Batch file operations, 5) Use streams when appropriate.
22. What are approaches for optimizing test fixtures?
Moderate
Fixture optimization: 1) Implement fixture caching, 2) Minimize setup costs, 3) Share fixtures when possible, 4) Efficient cleanup, 5) Optimize data generation.
23. How can hook execution be optimized?
Moderate
Hook optimization: 1) Minimize hook operations, 2) Share setup when possible, 3) Implement efficient cleanup, 4) Use appropriate hook types, 5) Optimize async hooks.
24. What patterns exist for optimizing assertion execution?
Moderate
Assertion optimization: 1) Use efficient matchers, 2) Minimize assertion count, 3) Implement custom matchers, 4) Optimize async assertions, 5) Handle complex comparisons.
25. How do you optimize distributed test execution?
Advanced
Distributed optimization: 1) Service coordination, 2) Resource allocation, 3) Network optimization, 4) State synchronization, 5) Result collection.
26. What are patterns for optimizing large test suites?
Advanced
Large suite optimization: 1) Test segmentation, 2) Resource management, 3) Execution planning, 4) Cache strategies, 5) Performance monitoring.
27. How do you implement custom performance monitoring?
Advanced
Custom monitoring: 1) Metric collection, 2) Performance analysis, 3) Resource tracking, 4) Alert systems, 5) Reporting tools.
28. What are approaches for optimizing test runners?
Advanced
Runner optimization: 1) Custom runner implementation, 2) Execution optimization, 3) Resource management, 4) Result collection, 5) Performance tuning.
29. What are patterns for optimizing test frameworks?
Advanced
Framework optimization: 1) Architecture improvements, 2) Resource efficiency, 3) Execution optimization, 4) Plugin management, 5) Performance tuning.
