This is a solid approach—testing a senior C# engineer’s hands-on experience through real-world scenarios. Below is a comprehensive list of
at least 30 in-depth senior-level interview questions with detailed explanations and answers. These questions focus on transaction handling, distributed systems, performance optimization, security, and system design—all crucial in a financial organization and industry as a whole.
1) TRANSACTION FAILURE AND RETRY MECHANISMS
ANSWER
The best approach is to use a retry mechanism with idempotency. This can be done via:
- Implementing a retry policy using Polly:
Retries up to 3 times before failing.
Uses exponential backoff to prevent overload.
- Using a background job queue (Hangfire, Quartz.NET, or MassTransit):
- Database-based tracking:
2. Deadlocks in SQL Transactions
ANSWER
- Use a consistent ordering of operations:
- Always debit before credit to prevent deadlocks.
- Lower the lock scope:
- Retry logic in case of deadlock:
3. Handling High-Volume Concurrent Transactions
Answer:
4. Preventing Double-Spending in Distributed Transactions
Answer:
5. Optimizing Database Queries for Real-Time Processing
Answer:
- Use database indexing:
- Use pagination for large queries:
6. Securing API Requests & Authentication
Answer:
7. Handling Long-Running Processes in .NET
Answer:
8. Handling Race Conditions in Multi-Threaded Environments
Answer
- Use database transactions with row-level locks:
9. Logging & Monitoring in Production
Answer:
10. Handling API Failures in a Microservices Architecture
Answer:
11. Handling Concurrency in a Banking System
Answer:
12. Preventing API Rate Abuse
Answer:
13. Ensuring Data Consistency Across Microservices
Answer:
14. Secure Storage of Sensitive User Data
Answer
15. Designing a Real-Time Fraud Detection System
Answer:
16. Avoiding Memory Leaks in Long-Running Services
Answer:
17. Designing a Scalable Logging System
Answer
18. Handling Time Zones in a Global Financial System
Answer
19. Scaling a .NET API to Handle Millions of Requests
Answer:
20. Optimizing SQL Queries for Large Data Processing
Answer:
21. Handling Large Reports in a Financial System
Answer
22. Eventual Consistency in Distributed Systems
Answer
23. Implementing Circuit Breakers in Microservices
Answer
24. Preventing Unauthorized Transactions
Answer:
25. Caching Strategies for Real-Time Banking Data
Answer:
26. Secure Storage of API Keys
Answer
27. WebSockets vs SignalR for Real-Time Updates
Answer
28. Handling Mass Fund Transfers Efficiently
Answer:
29. Role-Based Access Control (RBAC) in a Banking App
Answer:
30. Building an Event-Driven Architecture for Bank Notifications
Answer:
31. Using CQRS with Separate Read and Write Models in a Financial App
Answer:
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Credit: Graphics sourced from CodeQuotient
Thanks for sharing !!! Some answers were blank. Will be nice to add some implementation as well .