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Code Quality and Defensive Programming Questions

Covers writing clean, maintainable, and readable code together with proactive techniques to prevent failures and handle unexpected inputs. Topics include naming and structure, modular design, consistent style, comments and documentation, and making code testable and observable. Defensive practices include explicit input validation, boundary checks, null and error handling, assertions, graceful degradation, resource management, and clear error reporting. Candidates should demonstrate thinking through edge cases such as empty inputs, single element cases, duplicates, very large inputs, integer overflow and underflow, null pointers, timeouts, race conditions, buffer overflows in system or embedded contexts, and other hardware specific failures. Also evaluate use of static analysis, linters, unit tests, fuzzing, property based tests, code reviews, logging and monitoring to detect and prevent defects, and tradeoffs between robustness and performance.

HardTechnical
22 practiced
Design a fuzz-testing pipeline for a C network service that expects structured protocol messages. Specify harness architecture, seed corpus management, sanitizers (ASAN/UBSAN), CI integration strategy, crash triage automation, and approaches to reduce false positives and flakiness while keeping CPU cost reasonable.
HardSystem Design
27 practiced
You operate a distributed message-processing platform. Occasionally corrupted messages with invalid schema crash consumers. Design a comprehensive defense: schema evolution and registry, validation at ingress, dead-letter queues (DLQ) with metadata, monitoring to detect schema drift, and a triage/repair workflow. Discuss performance and operational trade-offs for validating at ingress vs consumer-side.
MediumTechnical
30 practiced
Implement a concurrency-safe LRU cache in Go with methods: Get(key string) (value interface{}, ok bool), Put(key string, value interface{}), and Len() int. The cache must be O(1) for get/put, enforce a positive capacity, reject nil/empty keys, and be safe for concurrent access. Include short unit-test cases highlighting edge cases: zero capacity, nil key, evictions.
EasyTechnical
23 practiced
Write a small Python function safe_divide(a, b) that returns a float result or raises a ValueError for invalid inputs. The function must defensively handle None inputs, non-numeric types, and division by zero. Provide three example calls and their expected outputs or exceptions.
EasyTechnical
23 practiced
Describe two defensive coding patterns to prevent resource leaks in a long-running daemon written in Go or Java (examples: file descriptor leaks, goroutine leaks, thread exhaustion). Explain how you would test for and detect those leaks in staging and production.

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