Sunday, November 23, 2025

⭐ Top 50 .NET Interview Questions and Answers (Fully Explained) (Perfect for Freshers + Experienced .NET Developers)-2025

 1. What is .NET Framework?

Answer:
.NET Framework is a Microsoft software development platform used to build Windows, Web, and Enterprise applications. It includes:

  • CLR (Common Language Runtime)

  • BCL (Base Class Library)

  • Languages: C#, VB.NET, F#

  • Tools: Visual Studio

It allows cross-language interoperability and simplifies memory management via the CLR.


2. What is .NET Core / .NET 5+?

Answer:
.NET Core (now unified under .NET 5, .NET 6, .NET 7, .NET 8) is:

  • Cross-platform (Windows, Linux, macOS)

  • Open-source

  • High-performance and lightweight

  • Supports microservices, containers, and cloud-native apps

It replaced the old .NET Framework with a unified modern platform.


3. What is the CLR?

Answer:
CLR (Common Language Runtime) is the runtime environment of .NET.
It handles:

  • Memory management

  • Garbage Collection

  • Thread management

  • Exception handling

  • Code execution

  • Security

It converts MSIL (Microsoft Intermediate Language) into native machine code.


4. What is the difference between .NET Framework and .NET Core?

Answer:

Feature.NET Framework.NET Core/.NET 6+
PlatformWindows-onlyCross-platform
Open SourceLimitedFully open-source
PerformanceModerateHigh-performance
DeploymentSystem-levelSide-by-side
ArchitectureMonolithicModular

.NET Core is recommended for modern applications, cloud applications, and microservices.


5. What is C#?

Answer:
C# (C Sharp) is an object-oriented programming language developed by Microsoft.
Features:

  • Strongly typed

  • OOP-based

  • Garbage-collected

  • Supports LINQ, async/await, generics

  • Used for web, desktop, API, game development (Unity), cloud apps.


6. What is MSIL/IL Code?

Answer:
MSIL (or IL) is the intermediate code generated after compiling C# code.
CLR converts IL to native code using JIT (Just-In-Time) compiler.


7. What is JIT Compiler?

Answer:
JIT Compiler converts MSIL into machine code during program execution.
Types of JIT:

  • Pre-JIT

  • Econo-JIT

  • Normal JIT

This improves performance and optimizes based on runtime.


8. What is OOPS in C#?

Answer:
OOPS stands for:

  • Encapsulation

  • Abstraction

  • Inheritance

  • Polymorphism

It helps create modular, maintainable, and reusable code.


9. Explain Encapsulation with example.

Answer:
Encapsulation hides internal object details and exposes only required functionality.

Example:

public class BankAccount { private decimal balance; public void Deposit(decimal amount) => balance += amount; public decimal GetBalance() => balance; }

Here, balance is protected from direct access.


10. What is Inheritance in C#?

Answer:
Inheritance allows one class to inherit properties and methods of another.

Example:

class Car { public void Drive() {} } class BMW : Car { }

BMW inherits Drive().


11. What is Polymorphism?

Answer:
Polymorphism allows methods to behave differently based on runtime objects.

Example:

public virtual void Message() { } public override void Message() { }

12. Difference between Abstract Class and Interface.

Answer:

Abstract ClassInterface
Can have fieldsNo fields
Can have constructorsNo constructors
Supports abstract + concrete methodsOnly abstract methods
Single inheritance onlyMultiple inheritance

13. What are Value Types and Reference Types?

Answer:

  • Value types: stored in stack → int, double, struct

  • Reference types: stored in heap → class, array, string


14. What is Boxing and Unboxing?

Answer:
Boxing: Converting value type → object (heap)
Unboxing: Converting object → value type

Example:

int x = 10; object obj = x; // Boxing int y = (int)obj; // Unboxing

15. What is ASP.NET Core?

Answer:
A high-performance, cross-platform framework for building:

  • Web apps

  • REST APIs

  • Microservices

  • Cloud applications

Uses Middleware and Dependency Injection by default.


16. What are Middleware components?

Answer:
Middleware is a pipeline that handles HTTP requests in sequence.
Examples:

  • Authentication

  • Routing

  • Exception handling

  • Logging

Implemented like:

app.UseMiddleware<CustomMiddleware>();

17. What is Dependency Injection (DI)?

Answer:
A design pattern where dependencies are injected instead of being created inside classes.

Example:

services.AddScoped<IEmployeeService, EmployeeService>();

Benefits:

  • Testability

  • Loose coupling

  • Readability


18. What is Entity Framework Core?

Answer:
EF Core is an ORM (Object Relational Mapper) for .NET used to interact with databases using C# instead of SQL.

Features:

  • Migrations

  • LINQ queries

  • Change tracking

  • Database-first & Code-first support


19. What is Code-First approach?

You create C# classes → EF creates database tables automatically.


20. What is Database-First approach?

Database already exists → EF generates models and DbContext.


21. What is Migration in EF Core?

Answer:
Migrations track database schema changes.

Commands:

Add-Migration Init Update-Database

22. What is LINQ?

Answer:
Language Integrated Query to perform queries on objects, collections, datasets, and DB.

Example:

var data = list.Where(x => x.Age > 20);

23. What is async and await?

Answer:
Used for asynchronous programming to avoid thread blocking.

Example:

await Task.Delay(1000);

24. What is Garbage Collection in .NET?

Answer:
Automatic memory management that frees unused objects.

Generations:

  • Gen 0

  • Gen 1

  • Gen 2


25. What is IDisposable Interface?

Used to release unmanaged resources manually.

Example:

using(var conn = new SqlConnection()) { }

26. What is a Constructor and Destructor?

Constructor → initializes object
Destructor → frees resources (rare in .NET)


27. What is Singleton Pattern?

Ensures only one instance of a class exists.

Example:

public static readonly Singleton Instance = new Singleton();

28. What is Routing in ASP.NET Core?

Matches incoming HTTP requests to endpoints.

Example:

app.MapControllerRoute("default", "{controller}/{action}/{id?}");

29. What is Model Binding?

ASP.NET Core automatically maps request data to parameters or models.


30. What is ViewModel?

A DTO used between View and Controller to avoid exposing domain models.


31. What is REST API?

Architectural style for building stateless, resource-based web services.


32. Difference between GET and POST.

GET → Fetch data (idempotent)
POST → Create data (not idempotent)


33. What is JWT Token?

A secure token used for authentication between client and server.
Parts:

  • Header

  • Payload

  • Signature


34. What is Swagger?

API documentation and testing tool built on OpenAPI specification.


35. What is Microservices Architecture?

Application broken into independent services.
Benefits: scalability, fault isolation, cloud readiness.


36. What is Kestrel?

The built-in high-performance web server in ASP.NET Core.


37. What is Configuration in ASP.NET Core?

Manages app settings using:

  • appsettings.json

  • Environment variables

  • Azure Key Vault


38. What is CORS?

Cross-Origin Resource Sharing → Allows frontend apps to access APIs from other domains.


39. What is a NuGet Package?

Dependency manager for .NET libraries.


40. What is .NET Standard?

A versioned set of APIs available across all .NET platforms.


41. Explain Sealed Class.

Cannot be inherited, used for security/performance.


42. What is a Partial Class?

A class split into multiple files.


43. What is Reflection?

Inspecting metadata during runtime.


44. What is ADO.NET?

Low-level data access using:

  • SqlConnection

  • SqlCommand

  • SqlDataReader


45. What is Thread and Task in .NET?

Thread → independent execution path
Task → lightweight wrapper for async operations


46. Explain SOLID Principles.

5 design principles for maintainable code:

  • Single Responsibility

  • Open Closed

  • Liskov Substitution

  • Interface Segregation

  • Dependency Inversion


47. What is Attribute in C#?

Metadata added to classes or methods.

Example:

[Authorize] public class HomeController { }

48. What is Filter in ASP.NET Core?

Executes logic before or after controller actions.
Types:

  • Authorization

  • Resource

  • Action

  • Exception


49. What is Web API Versioning?

Manage multiple versions of APIs for backward compatibility.


50. What is Health Check in ASP.NET Core?

Used to monitor the health of application and services in production.



Saturday, November 22, 2025

🧩 .NET Framework Monolithic to Microservices Conversion Using AI Tools – A Complete Guide

🧩 .NET Framework Monolithic to Microservices Conversion Using AI Tools – A Complete Guide

Migrating a .NET monolithic application to a modern microservices architecture is one of the most impactful modernization decisions organizations make today.
With the rise of AI-driven code analysis, automated refactoring tools, and architectural recommendation engines, the process has become faster, safer, and more predictable.

This article explains how to convert a .NET Framework monolith into microservices using AI tools, key considerations, prerequisites, step-by-step approach, and best practices.


🏛 1. Introduction

Most enterprise applications built between 2000 and 2015 were created using the .NET Framework in a monolithic architecture.
These systems often face problems such as:

  • Tight coupling

  • Slow deployments

  • Difficult scalability

  • Technology lock-in

  • Hard dependency management

  • Cannot easily adopt cloud-native patterns

Modernizing them into microservices (.NET 6/7/8+) provides agility, scalability, CI/CD friendliness, and improved fault isolation.

With new advancements in AI-powered tools, monolith-to-microservice conversion is now faster and significantly lower risk.


🤖 2. Role of AI in Monolithic to Microservices Conversion

AI does not "write microservices automatically," but it accelerates and improves the modernization process by:

✔ Understanding legacy code faster

AI can scan millions of lines of code and generate:

  • Architecture maps

  • Dependency diagrams

  • Domain clusters

  • Coupling reports

✔ Identifying logical microservice boundaries

AI tools perform domain decomposition using:

  • Domain-driven design principles

  • Data ownership

  • Code dependency graphs

  • API behavior

✔ Suggesting refactoring patterns

AI identifies where to apply:

  • Repository pattern

  • Facade pattern

  • Anti-corruption layer

  • CQRS

  • Strangler Fig pattern

✔ Auto-generating cloud-ready .NET Core code

Some tools can rewrite:

  • ASP.NET WebForms → ASP.NET Core MVC

  • WCF → gRPC / Web API

  • ADO.NET → EF Core

  • Config files → appsettings.json

✔ Recommending infrastructure components

AI suggests best-suited:

  • Containers

  • API gateways

  • Kubernetes settings

  • Observability framework


🛠 3. Popular AI Tools for .NET Modernization

These tools help accelerate monolith decomposition:

1. Microsoft AppCAT (Application Compatibility & Modernization Tool)

  • Identifies .NET Framework APIs

  • Suggests migration fixes

  • Creates modernization report

2. Azure Migrate – App Containerization

  • Containerizes legacy .NET apps

  • Adds Docker configuration

  • Suggests microservice boundaries

3. IBM Mono2Micro (AI-based decomposition)

  • AI clustering

  • Identifies microservices domains

  • Recommends service boundaries

  • Generates code transformation hints

4. AWS Microservice Extractor for .NET

  • Uses static/dynamic analysis

  • Detects domain boundaries

  • Generates microservice templates

5. GPT-based Code Analysis (ChatGPT, Copilot)

Can assist in:

  • Refactoring code

  • Splitting modules

  • Creating services

  • Writing documentation

  • Generating .NET Core code


🧭 4. Key Points to Keep in Mind Before Converting

✔ 1. Identify business domains (DDD – Domain-Driven Design)

Break application into:

  • Customer Management

  • Billing

  • Payments

  • Inventory

  • Reports

✔ 2. Loosely coupled boundaries

Each service should own its data and not depend on others internally.

✔ 3. Data migration strategy

Every microservice must have:

  • Its own database

  • No cross-schema joins

  • Communication via API or messaging

✔ 4. Communication pattern

Choose between:

  • REST API

  • gRPC

  • Event-driven architecture (RabbitMQ, Kafka)

✔ 5. Authentication/Authorization

Use:

  • IdentityServer

  • Azure AD / B2C

  • JWT tokens

✔ 6. Observability

Include:

  • Logging

  • Distributed tracing

  • Metrics

  • Health checks

✔ 7. Deployment strategy

Adopt:

  • Docker

  • Kubernetes

  • Azure App Services / AKS


📦 5. Step-by-Step Conversion Approach (Using AI Tools)

Step 1: Assess the Monolithic Application

Use tools:

  • Microsoft AppCAT

  • AWS Microservice Extractor

  • IBM Mono2Micro

These generate:

  • Code dependency graphs

  • API/service flow

  • Class coupling

  • Complexity reports

  • Recommended service boundaries


Step 2: Identify Microservices Using AI Decomposition

AI clusters business functionality into domains:

Example:

OrderService

  • Place order

  • Modify order

  • Cancel order

  • Order history

InventoryService

  • Stock update

  • Stock reservation

  • Warehouse management

PaymentService

  • Payment gateway

  • Refund

  • Transactions

AI gives:

  • Boundary suggestions

  • Data ownership mapping

  • APIs extraction recommendations


Step 3: Choose a Migration Pattern

1. Strangler Fig Pattern (Most recommended)

Gradually replace monolith modules with microservices.

2. Rewrite pattern

Rewrite entire application → High risk.

3. Side-by-side modernisation

Build services while monolith still runs.

AI tools help in:

  • Deciding the correct pattern

  • Identifying least risky modules

  • Estimating effort


Step 4: Extract Code for Each Microservice

AI tools help generate:

  • Controllers

  • Service classes

  • DTOs

  • DbContext

  • Repositories

  • Unit tests

Framework target: .NET 6/7/8


Step 5: Build API Gateway

Use:

  • Ocelot

  • YARP

  • Azure API Management

AI can auto-generate:

  • Policies

  • Route configuration

  • JWT validation


Step 6: Containerization Using AI Tools

Azure Migrate or Docker AI can auto-generate:

  • Dockerfile

  • Entry point scripts

  • Kubernetes YAML

  • Helm charts


Step 7: Data Migration (Per-Service Database)

Split databases using:

  • Database-per-service

  • Schema-per-service

  • Table-per-service

AI suggests optimized schemas and detects foreign key conflicts.


Step 8: Testing and Validation

Use AI for:

  • Unit test generation

  • Automated integration test scripts

  • API contract testing


🧱 6. Real-Time Example: Monolith to Microservice Conversion

Suppose you have a Retail Monolithic App with:

Controllers/
Services/
Repositories/
Database/
UI/

AI tools detect domains:

  • User Management

  • Catalog

  • Orders

  • Payments

  • Delivery

Then it generates:

OrderService/
    .NET 8 Web API
    OrderController.cs
    OrderService.cs
    OrderDbContext.cs
    RabbitMQ integration

And integrates it into:

API Gateway → OrderService
Monolith → Catalog

Gradually, each module is replaced.


🛡 7. Common Mistakes to Avoid

❌ Converting entire monolith at once
❌ Sharing database between services
❌ Ignoring distributed transactions
❌ Not implementing centralized logging
❌ Not using versioning for APIs
❌ Overusing synchronous calls


🎯 8. Best Practices

✔ Start with a domain that has least external dependencies
✔ Use Strangler Fig pattern
✔ Implement circuit breakers (Polly)
✔ Maintain backward compatibility
✔ Use asynchronous communication
✔ Keep services small but meaningful
✔ Document everything (AI can help auto-document)


🚀 9. Conclusion

AI-assisted modernization makes monolith-to-microservices conversion:

  • Faster

  • Reliable

  • Predictable

  • Cost-efficient

By combining AI code analysis, DDD principles, modern .NET Core, and cloud-native tools, organizations can transform legacy .NET Framework applications into scalable, cloud-ready microservices.



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