Randomness and Random Number Generation Questions

Understanding sources of entropy, the design and use of cryptographically secure random number generators, and why weak randomness breaks cryptographic guarantees. Candidates should be able to discuss entropy harvesting from hardware noise sources, conditioning, seeding and reseeding strategies, health tests and entropy estimation, tradeoffs for deterministic versus non deterministic generation, and common failures that lead to key compromise. The topic also covers operating system randomness interfaces, hardware random number generator integration, and best practices for managing randomness in key generation, protocols, and constrained environments.