• Explain your understanding of the CAP theorem and its implications for designing distributed systems like ASP.NET Core Web APIs .

  • How can you leverage serverless technologies to scale your ASP.NET Core Web API dynamically?

  • Discuss strategies for optimizing the performance of gRPC services in ASP.NET Core. Expertise Level: Mid Level

  • How would you design an ASP.NET Core Web API to handle a sudden surge in traffic during a promotional event?

  • Describe how you would implement health checks and monitoring in a Kubernetes-based deployment of your ASP.NET Core Web API .

  • How can you leverage CDN's to improve the performance and scalability of your ASP.NET Core Web API ?

  • Discuss the impact of different serialization formats (e.g., JSON , XML ) on performance .

  • Explain your approach to performance testing and load testing for ASP.NET Core Web API applications. Expertise Level of Developer Required to Answer this Question

  • How would you handle a scenario where your ASP.NET Core Web API needs to integrate with multiple external services , each with different performance characteristics ?

  • What are some best practices for API design that contribute to better performance and scalability ?

  • How would you design a system to handle eventual consistency in a distributed ASP.NET Core Web API application ?

  • Describe your experience with using NoSQL databases in conjunction with ASP.NET Core Web API for improved performance .

  • Explain how you would implement logging and monitoring for a distributed ASP.NET Core Web API application .

  • How do you choose the right hosting environment (e.g., IIS, Docker, Kubernetes) for your ASP.NET Core Web API based on performance and scaling requirements?

  • What are some common security considerations when designing and scaling an ASP.NET Core Web API ?

  • Describe how you would implementAPI versioningin abackward-compatiblemanner.

  • How can you use response compression to improve the performance of your ASP.NET Core Web API ?

  • Discuss the role of background tasks and message queues in scaling ASP.NET Core Web API applications.

  • How do you handle database connection management in a high-traffic ASP.NET Core Web API?

  • What strategies can you employ tominimize database round tripsin yourASP.NET Core Web API?

  • How would you design an API to handle real-time updates for thousands of connected clients ?

  • Explain how you would implement a circuit breaker pattern in your ASP.NET Core Web API to improve resilience .

  • Discuss the trade-offs between usingin-memory cachingversusdistributed cachingin a scaledASP.NET Core Web APIenvironment.

  • How would you design an ASP.NET Core Web API to handle large file uploads efficiently?

  • Design a system to handle 10,000 concurrent requests to an ASP.NET Core Web API endpoint that retrieves data from a SQL Server database .