Kahan Cardiac Clinic Interview Questions and Answers

Exception handling and filters in .NET Core Web API

• Use try-catch blocks to handle exceptions in the code

• Implement global exception handling middleware to catch unhandled exceptions

• Use filters like [Authorize] for authentication and [ValidateAntiForgeryToken] for CSRF protection

• Create custom exception filters by implementing IExceptionFilter interface

I have used the asynchronous messaging pattern for Microservice communication.

• Implemented messaging queues like RabbitMQ or Kafka for decoupled communication

• Used message brokers to enable communication between Microservices

• Leveraged event-driven architecture for real-time updates and scalability

We are using OAuth 2.0 for single sign on in the project.

• OAuth 2.0 is a widely used authorization framework that enables a third-party application to obtain limited access to an HTTP service.

• It allows users to log in once and access multiple applications without having to log in again.

• OAuth 2.0 provides secure delegated access to resources without sharing user credentials.

I have used Application Insights for monitoring and analyzing the performance of .NET applications.

• Used Application Insights to track application performance metrics

• Analyzed telemetry data to identify performance bottlenecks

• Set up alerts and notifications for critical issues

• Integrated Application Insights with Azure DevOps for continuous monitoring

JWT token is a JSON Web Token used for secure transmission of information between parties.

• JWT token is a compact and self-contained way to transmit information between parties.

• It is digitally signed to verify its authenticity and integrity.

• JWT tokens consist of three parts: header, payload, and signature.

• They are commonly used for authentication and information exchange in web applications.

• Example: JWT tokens are often used in OAuth 2.0 for secure authorization.

We use in-memory caching technique in our project to improve performance and reduce database load.

• In-memory caching is used to store frequently accessed data in memory for quick retrieval

• Helps reduce database load and improve application performance

• Examples: using MemoryCache in .NET, Redis caching, caching frequently accessed data like user profiles or product information