Explain sync/async, Go concurrency, SQL vs NoSQL
ChimeSoftware Engineer · Technical ScreenLast updated
This question evaluates understanding of execution models (synchronous vs asynchronous and blocking vs non-blocking), Go concurrency patterns (goroutines, channels versus shared-memory with locks), and database paradigms (SQL vs NoSQL) relevant to backend engineering.
You are interviewing for a backend engineering role. Answer the following conceptual questions clearly and with concrete examples.
1) Synchronous vs asynchronous
- Define synchronous and asynchronous execution.
- Explain how this differs from blocking vs non-blocking I/O.
- Give an example of each in a backend service (e.g., handling HTTP requests, calling downstream services).
2) Go: channels vs shared-memory concurrency
- Explain Go’s concurrency model at a high level (goroutines, scheduler).
- Compare communicating via channels vs sharing memory with locks.
- When would you prefer each approach? Call out common pitfalls (deadlocks, data races, goroutine leaks).
3) SQL vs NoSQL
- Compare relational databases and common NoSQL types (key-value, document, wide-column).
- Discuss trade-offs across:
- data modeling and query patterns
- transactions and consistency guarantees
- scaling (vertical vs horizontal)
- operational complexity
- Provide a couple of example use cases where you would strongly prefer SQL, and where you would strongly prefer NoSQL.
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