Interview Questions and Answers: Real-Time Web Development with Blazor, SignalR, and WebSockets

1. What is Blazor, and how does it differ from traditional web development frameworks?

Answer: Blazor is a modern web framework from Microsoft that enables developers to create interactive web applications using C# and .NET instead of JavaScript. It has two hosting models:

• Blazor WebAssembly: Runs in the browser via WebAssembly.
• Blazor Server: Runs on the server, communicating with the browser in real-time using SignalR.

Unlike traditional JavaScript frameworks (e.g., React or Angular), Blazor leverages a single programming language (C#) for both client and server development, simplifying the process for developers with .NET expertise.

2. What are the key features of Blazor?

Answer:

• Component-Based Architecture: Reusable UI components.
• Full-Stack Development: Use C# for both front-end and back-end.
• Hosting Options: Supports Blazor WebAssembly and Blazor Server.
• JavaScript Interoperability: Call JavaScript when needed.
• Rich Tooling: Integration with Visual Studio.
• Built-In Security: Offers authentication and authorization features.

3. How do you deploy a Blazor application to Azure?

Answer:

1. Prepare the application for deployment in Release mode.
2. Choose the hosting option:
• Blazor WebAssembly: Deploy to Azure Static Web Apps or Azure Storage.
• Blazor Server: Deploy to Azure App Service.
3. Configure Azure resources for scalability and security.
4. Monitor the app using Azure Monitor or Application Insights.
5. Implement best practices such as HTTPS, caching, and auto-scaling.

4. What is SignalR, and how does it enable real-time communication?

Answer: SignalR is a library for adding real-time web functionality to applications. It establishes a persistent connection between the server and clients, enabling bidirectional communication. SignalR uses WebSockets when available and falls back to other technologies like Server-Sent Events (SSE) or Long Polling. It is often used for chat apps, live dashboards, and collaborative tools.

5. What are the differences between SignalR and Server-Sent Events (SSE)?

Answer:

Feature	SignalR	Server-Sent Events (SSE)
Communication	Bidirectional	Server-to-Client only
Transport	WebSockets, SSE, Long Polling	HTTP only
Scalability	Supports scaling with Redis, Azure	Limited scalability
Use Cases	Chats, games, real-time tools	Simple live updates (e.g., news)

6. Explain how WebSocket works and its use cases.

Answer: WebSocket provides full-duplex communication between a client and a server over a single, persistent connection. The process includes:

1. Handshake: Starts as an HTTP request and switches to WebSocket protocol.
2. Persistent Connection: Keeps the connection open for ongoing communication.
3. Bidirectional Messages: Enables both client and server to send messages independently.
4. Use Cases: Real-time apps like chat systems, stock price updates, collaborative tools, and gaming.

7. When should you choose Blazor over frameworks like React or Angular?

Answer:

• Use Blazor: When you're leveraging a .NET ecosystem, prefer using C# for full-stack development, or building enterprise apps tightly integrated with Azure.
• Use React: For dynamic, interactive UIs or apps that may extend to mobile (React Native).
• Use Angular: For large-scale apps requiring an all-in-one solution with strong TypeScript support.

  

Top Solution Architect Interview Questions & Answers - Part II

 Top Solution Architect Interview Questions & Answers

.NET and Cloud Technologies (Azure)

Q1: Can you explain the key differences between .NET Framework and .NET Core?

Answer:

• .NET Framework is Windows-only and primarily used for enterprise applications.
• .NET Core is cross-platform, lightweight, and optimized for microservices and cloud-based applications.
• .NET Core has better performance, container support, and modular architecture using NuGet packages.

---

Q2: What are Azure Functions, and how do they work?

Answer:

• Azure Functions is a serverless compute service that allows running event-driven code without managing infrastructure.
• It supports various triggers (HTTP, Timer, Queue, Event Grid, etc.) to execute logic.
• It scales automatically based on demand and supports multiple runtimes, including .NET, Node.js, Python, and Java.

---

Q3: What are Azure Service Bus and Event Grid? When would you use each?

Answer:

• Azure Service Bus is a message broker that provides asynchronous messaging between applications using queues and topics. Ideal for decoupling microservices.
• Azure Event Grid is an event routing service that pushes events in real-time (e.g., resource creation/deletion notifications).
• Use Service Bus when message ordering and reliability are crucial, while Event Grid is suitable for event-driven architectures.

---

Designing Scalable Systems

Q4: How do you design a scalable distributed system?

Answer:

• Use Microservices architecture to break monolithic applications.
• Implement Load Balancers (Azure Load Balancer, Azure Application Gateway) to distribute traffic.
• Utilize Caching mechanisms (Redis, Azure Cache for Redis) for frequently accessed data.
• Use Asynchronous messaging (Azure Service Bus, Kafka) to decouple services.
• Ensure Auto-scaling of resources based on demand.

---

Q5: What are the key considerations when designing a microservices-based architecture?

Answer:

1. Service Boundaries: Define clear business functions for each microservice.
2. Database per Service: Avoid direct database sharing; use event-driven architecture if needed.
3. Communication: Use RESTful APIs, gRPC, or messaging queues for service communication.
4. Security: Implement OAuth2.0/OpenID Connect for authentication and API Gateway for centralized access.
5. Observability: Use logging (Serilog, ELK), monitoring (Application Insights, Prometheus, Grafana).

---

Security & Authentication

Q6: What is the difference between OAuth 2.0 and OpenID Connect?

Answer:

• OAuth 2.0 is an authorization protocol that allows third-party apps to access user data without revealing credentials.
• OpenID Connect (OIDC) is built on OAuth 2.0 but provides authentication (identity verification).
• OAuth 2.0 issues Access Tokens (for API access), while OpenID Connect issues ID Tokens (for authentication).

---

Q7: How do you secure APIs using OAuth 2.0?

Answer:

• Use Azure AD or Identity Server to issue JWT access tokens.
• Implement scopes and roles to control API access.
• Use API Gateway (Azure API Management) to enforce security policies.
• Store and validate tokens securely using OAuth flows (Client Credentials, Authorization Code, Implicit, PKCE).

---

Microservices & Communication

Q8: What are the different ways microservices can communicate?

Answer:

1. Synchronous Communication:
   • REST APIs (HTTP-based)
   • gRPC (Binary, faster than REST)
2. Asynchronous Communication:
   • Message Brokers (Azure Service Bus, RabbitMQ, Kafka)
   • Event-driven architecture using Azure Event Grid
3. API Gateway (Azure API Management, Ocelot) for centralized management.

---

Database & ORM

Q9: How does Entity Framework work, and what are its advantages?

Answer:

• Entity Framework (EF) is an ORM (Object-Relational Mapper) that simplifies database access in .NET.
• Benefits:
  • Code First / Database First approach.
  • LINQ queries instead of raw SQL.
  • Supports transactions, lazy loading, eager loading.
  • Works well with SQL Server, MySQL, PostgreSQL.

---

Q10: What are the different ways to improve database performance in .NET applications?

Answer:

1. Use Caching (Redis, In-memory, Azure Cache for Redis).
2. Optimize Queries (Use indexes, avoid SELECT *).
3. Use Stored Procedures to reduce query execution time.
4. Implement Connection Pooling for database connections.
5. Use Asynchronous Calls (async/await with DbContext).
6. Partitioning & Sharding for large datasets.

---

RESTful APIs & Integration

Q11: How do you design a RESTful API?

Answer:

1. Use Proper HTTP Methods:
   • GET (Read), POST (Create), PUT/PATCH (Update), DELETE (Remove).
2. Use Meaningful URIs: /api/orders/{id}/items instead of /getOrderItems.
3. Implement HATEOAS (Hypermedia As The Engine Of Application State) for discoverability.
4. Version APIs using /v1/orders or Accept: application/vnd.company.v1+json.
5. Secure APIs using OAuth 2.0, API Gateway, and rate limiting.

---

Q12: What are the common HTTP status codes used in REST APIs?

Answer:

• 200 OK – Success
• 201 Created – Resource Created
• 204 No Content – Successful request, no response body
• 400 Bad Request – Invalid input
• 401 Unauthorized – Authentication required
• 403 Forbidden – Not enough permissions
• 404 Not Found – Resource not found
• 500 Internal Server Error – Server failure

---

Monitoring & Observability

Q13: How do you monitor and debug cloud applications?

Answer:

• Application Insights for real-time logging.
• Azure Monitor, Log Analytics for analyzing logs.
• Distributed Tracing (OpenTelemetry, Jaeger, Zipkin) for microservices.
• Alerts and Dashboards (Grafana, Prometheus) to monitor system health.
• Dead-letter queues in Azure Service Bus to track failed messages.

---

Customer Proposals & Solution Design

Q14: What are key aspects of writing a customer proposal for a software solution?

Answer:

1. Understanding Customer Requirements – Gather functional and non-functional requirements.
2. Solution Architecture – Define high-level architecture, technology stack, and integrations.
3. Security & Compliance – Address authentication, authorization, and data protection measures.
4. Scalability & Performance – Ensure the system meets business growth needs.
5. Cost Estimation & Timeline – Provide budget-friendly solutions with a clear roadmap.
6. Risk Management – Identify potential risks and mitigation strategies.

Can you walk us through a complex project where you leveraged Azure OpenAI, LangChain, embedding models, and the Milvus Vector database to streamline a business process? Specifically, how did you address the challenges you faced during the project, and what were the key results and impact?

Let's structure your response using the STAR method (Situation, Task, Action, Result) for your project:

Situation:

Our team was tasked with developing an application to streamline the review process of medical plans. The goal was to provide a tool that would enable leadership to assess findings and recommendations efficiently. The existing process was manual and time-consuming, leading to inefficiencies and delays.

Task:

My responsibility was to design and implement a solution that would automate and optimize the medical plan review process. This involved leveraging Azure OpenAI, LangChain, embedding models, and the Milvus Vector database to create a robust and efficient system.

Action:

1. Requirement Analysis: I collaborated with stakeholders to understand their needs and define the project requirements.

2. Technology Selection: I chose Azure OpenAI for its advanced natural language processing capabilities, LangChain for its seamless integration, and the Milvus Vector database for efficient data indexing and retrieval.

3. Architecture Design: I designed the system architecture, ensuring scalability, security, and performance. The architecture included microservices for handling different components, such as data ingestion, processing, and reporting.

4. Implementation: I developed the core components using .NET 8 and integrated Azure OpenAI for NLP tasks. LangChain was used for orchestrating the workflow, and Milvus Vector database was implemented for fast and accurate data retrieval.

5. Testing and Validation: I conducted rigorous testing to ensure the system met performance and accuracy requirements. I also organized user acceptance testing (UAT) sessions with stakeholders to gather feedback and make necessary adjustments.

6. Deployment and Training: I deployed the solution to Azure and conducted training sessions for the leadership team to ensure they could effectively use the application.

Result:

The new application significantly streamlined the medical plan review process. Key achievements included:

• Efficiency Improvement: Reduced review time by 75%, allowing leadership to make faster and more informed decisions.

• Accuracy Enhancement: Improved the accuracy of findings and recommendations through advanced NLP and embedding models.

• User Satisfaction: Received positive feedback from leadership and stakeholders for its user-friendly interface and robust performance.

By leveraging cutting-edge technologies and following a structured approach, we successfully delivered a solution that met the project goals and exceeded stakeholder expectations.

Interview questions - full stack Developer(.net/auzre)

Below are best-practice answers to the common interview questions I listed earlier. These answers are designed to be concise, clear, and demonstrate your expertise.

---

.NET Questions

1. What is the difference between IEnumerable and IQueryable?

• IEnumerable:

  • Works with in-memory collections (e.g., List, Array).

  • Executes queries on the client side (LINQ-to-Objects).

  • Suitable for small datasets.

• IQueryable:

  • Works with remote data sources (e.g., databases).

  • Executes queries on the server side (LINQ-to-Entities).

  • Suitable for large datasets and optimized for performance.

• Example:

  csharp

  Copy

  IEnumerable<Customer> customers = db.Customers.Where(c => c.Age > 30).ToList(); // Executes in memory
  IQueryable<Customer> customers = db.Customers.Where(c => c.Age > 30); // Executes on the database server

---

2. How does dependency injection work in ASP.NET Core?

• Dependency Injection (DI) is a design pattern used to achieve Inversion of Control (IoC) between classes and their dependencies.

• How it works:

  • Services are registered in the Startup.cs or Program.cs file using services.AddSingleton, services.AddScoped, or services.AddTransient.

  • The framework injects these services into controllers, views, or other services via constructor injection.

• Example:

  csharp

  Copy

  public void ConfigureServices(IServiceCollection services)
  {
      services.AddScoped<IMyService, MyService>(); // Register service
  }
  
  public class MyController : Controller
  {
      private readonly IMyService _myService;
      public MyController(IMyService myService) // Inject service
      {
          _myService = myService;
      }
  }

---

3. Explain the lifecycle of a .NET application.

• Compilation:

  • Source code is compiled into Intermediate Language (IL) by the C# compiler.

• Execution:

  • The Common Language Runtime (CLR) loads the IL code and compiles it into machine code using Just-In-Time (JIT) compilation.

• Memory Management:

  • The Garbage Collector (GC) automatically manages memory allocation and deallocation.

• Application Domains:

  • .NET applications run in isolated environments called application domains.

---

4. What is the difference between Task and Thread in C#?

• Thread:

  • Represents an actual OS-level thread.

  • Resource-intensive and harder to manage.

• Task:

  • Represents an asynchronous operation.

  • Uses the ThreadPool for efficient resource management.

  • Supports async/await for easier asynchronous programming.

• Example:

  csharp

  Copy

  // Thread
  Thread thread = new Thread(() => DoWork());
  thread.Start();
  
  // Task
  Task.Run(() => DoWork());

---

5. How do you handle exceptions globally in ASP.NET Core?

• Use middleware to handle exceptions globally.

• Example:

  csharp

  Copy

  public void Configure(IApplicationBuilder app, IHostingEnvironment env)
  {
      if (env.IsDevelopment())
      {
          app.UseDeveloperExceptionPage();
      }
      else
      {
          app.UseExceptionHandler("/Home/Error"); // Global exception handler
      }
  }

---

Azure Questions

1. What is the difference between Azure App Service and Azure Functions?

• Azure App Service:

  • Used for hosting web applications, APIs, and mobile backends.

  • Supports multiple languages and frameworks.

  • Ideal for long-running applications.

• Azure Functions:

  • Serverless compute service for event-driven tasks.

  • Executes code in response to triggers (e.g., HTTP, timers, queues).

  • Ideal for short-lived, stateless functions.

---

2. How do you secure an Azure SQL Database?

• Authentication:

  • Use Azure Active Directory (AAD) or SQL authentication.

• Authorization:

  • Implement Role-Based Access Control (RBAC).

• Encryption:

  • Enable Transparent Data Encryption (TDE) for data at rest.

  • Use SSL/TLS for data in transit.

• Firewall Rules:

  • Restrict access to specific IP addresses or virtual networks.

---

3. Explain the difference between Azure Blob Storage and Azure Table Storage.

• Azure Blob Storage:

  • Used for storing unstructured data like images, videos, and documents.

  • Supports tiered storage (Hot, Cool, Archive).

• Azure Table Storage:

  • NoSQL key-value store for structured data.

  • Ideal for storing metadata or semi-structured data.

---

4. How do you implement CI/CD using Azure DevOps?

• Steps:

  1. Create a repository in Azure DevOps.

  2. Define a build pipeline (e.g., using YAML) to compile and test the code.

  3. Define a release pipeline to deploy the application to Azure.

  4. Use triggers to automate the process (e.g., on code push).

• Example:

  yaml

  Copy

  trigger:
    branches:
      include:
        - main
  
  pool:
    vmImage: 'windows-latest'
  
  steps:
  - task: UseDotNet@2
    inputs:
      packageType: 'sdk'
      version: '6.x'
  - script: dotnet build --configuration Release
  - script: dotnet test

---

5. What is the purpose of Azure Active Directory (AAD)?

• AAD is a cloud-based identity and access management service.

• Key Features:

  • Single Sign-On (SSO) for applications.

  • Multi-Factor Authentication (MFA) for enhanced security.

  • Integration with on-premises Active Directory.

---

Full Stack Questions

1. How do you optimize the performance of a web application?

• Frontend:

  • Minify and bundle CSS/JS files.

  • Use lazy loading for images and components.

• Backend:

  • Optimize database queries and use caching (e.g., Redis).

  • Use asynchronous programming to avoid blocking threads.

• Infrastructure:

  • Scale horizontally using load balancers.

  • Use Content Delivery Networks (CDNs) for static assets.

---

2. What are the differences between REST and GraphQL?

• REST:

  • Uses fixed endpoints for resources.

  • Over-fetching or under-fetching of data can occur.

• GraphQL:

  • Uses a single endpoint for all queries.

  • Clients can request only the data they need.

---

3. How do you handle state management in a frontend application?

• Local State:

  • Use component state (e.g., React useState).

• Global State:

  • Use state management libraries like Redux or Context API.

• Server State:

  • Use libraries like React Query or SWR for caching and synchronization.

---

4. Explain the concept of microservices and when to use them.

• Microservices:

  • Architectural style where applications are built as a collection of small, independent services.

• When to Use:

  • For large, complex applications requiring scalability and flexibility.

  • When different teams work on different parts of the application.

---

5. How do you ensure security in a full stack application?

• Authentication:

  • Use OAuth, JWT, or AAD for secure authentication.

• Authorization:

  • Implement role-based access control (RBAC).

• Data Protection:

  • Encrypt sensitive data at rest and in transit.

• Input Validation:

  • Sanitize user inputs to prevent SQL injection and XSS attacks.

Interview preparation, sample interview questions for software developer role or software architect role in azure and .net

Let me about your self:

Hello, my name is Surya. I am an experienced Software and Azure Architect with over 17 years of expertise in software development and cloud solutions. My specialization includes full-stack development using .NET, Angular, and React, as well as advanced capabilities in Azure Cloud. I have a proven track record of transforming complex challenges into efficient, high-performance solutions. My experience spans the entire project life cycle, from feasibility analysis and design to implementation and user training. I am also knowledgeable in OpenAI and large language models, which I have utilized to drive innovation in my projects. I am eager to bring my skills and experience to your team and contribute to your organization's success.

Now, let's move on to some possible interview questions and suitable answers:

Technical Questions:

1. Can you describe a challenging project you worked on and how you overcame the challenges?

   • Answer: "One of the most challenging projects I worked on was automating the generation of PowerPoint reports from extensive Excel sales data. The manual process was time-consuming and prone to errors. I developed an end-to-end solution using .NET 8.0 and Azure services, which reduced manual effort by 95% and streamlined report creation. I conducted in-depth research and Proof of Concept evaluations to identify the best technologies for the project, ensuring seamless integration and optimal performance."

2. How do you ensure the scalability and reliability of the solutions you design?

   • Answer: "I ensure scalability and reliability by leveraging Azure PaaS services and following best practices for cloud architecture. For example, in one project, I designed and implemented scalable solutions using Azure Functions, Data Factory, and Web Apps. I also utilized Azure Key Vault and Storage Accounts to enhance security and performance. Additionally, I conduct thorough testing and performance monitoring to identify and address potential issues early on."

3. Can you explain your experience with Azure Cognitive Services and how you have used them in your projects?

   • Answer: "I have extensive experience with Azure Cognitive Services, particularly Text Analytics. In one project, I used Azure Cognitive Services to analyze customer feedback and extract valuable insights. This helped the client improve their products and services based on real-time data. I also integrated Azure Cognitive Services with other Azure components, such as Azure Functions and Cosmos DB, to create a comprehensive and efficient solution."

Behavioral Questions:

1. How do you handle tight deadlines and multiple projects simultaneously?

   • Answer: "I prioritize tasks based on their urgency and impact, and I use Agile methodologies to manage my workload effectively. I break down projects into smaller, manageable tasks and set realistic deadlines for each. I also maintain open communication with my team and stakeholders to ensure everyone is aligned and aware of any changes or challenges. This approach helps me stay organized and deliver high-quality results on time."

2. Can you describe a time when you had to mentor a colleague or team member?

   • Answer: "At AonHewitt India Pvt. Ltd, I mentored a team of five developers. I provided guidance on coding best practices, conducted code reviews, and offered support in troubleshooting issues. I also encouraged continuous learning and professional growth by sharing resources and organizing knowledge-sharing sessions. This mentorship helped improve the team's technical capabilities and overall performance."

3. How do you stay updated with the latest technologies and industry trends?

   • Answer: "I stay updated by regularly attending industry conferences, participating in webinars, and reading technical blogs and publications. I also engage with online communities and forums to exchange knowledge and learn from other professionals. Additionally, I take relevant certification courses to enhance my skills and stay current with the latest advancements in technology."

 

Choosing the Right Azure Storage Account: A Comprehensive Guide

What are the different types of Azure Storage accounts and their key differences?

Azure offers several types of storage accounts, each tailored for different scenarios. Here are the main types:

1. General-purpose v2 (GPv2): Supports all Azure Storage services (Blobs, Files, Queues, and Tables). It’s the most versatile and recommended for most scenarios.
2. Blob Storage: Optimized for storing unstructured data like text and binary data. It supports hot, cool, and archive access tiers.
3. General-purpose v1 (GPv1): An older version of GPv2, supporting Blobs, Files, Queues, and Tables but with fewer features and higher costs for some operations.
4. Block Blob Storage: Premium storage for block blobs and append blobs, offering low latency and high throughput.
5. FileStorage: Premium storage for Azure Files, providing high performance for file shares.

When to Use Each Type

• GPv2: Use for most scenarios, including applications that require a mix of different storage services.
• Blob Storage: Ideal for scenarios where you need to store large amounts of unstructured data and want to optimize costs with different access tiers.
• GPv1: Suitable for legacy applications that were designed for this type.
• Block Blob Storage: Best for workloads with high transaction rates or requiring low latency.
• FileStorage: Use for enterprise or high-performance applications needing file shares.

Key Differences

1. Supported Services:
• GPv2: Supports Blobs, Files, Queues, and Tables.
• Blob Storage: Only supports Blob storage.
• GPv1: Supports Blobs, Files, Queues, and Tables but with fewer features.
• Block Blob Storage: Only supports Block and Append Blobs.
• FileStorage: Only supports Azure Files.
2. Performance:
• GPv2 and GPv1: Standard performance.
• Block Blob Storage and FileStorage: Premium performance with SSDs.
3. Access Tiers:
• GPv2 and Blob Storage: Support hot, cool, and archive tiers.
• GPv1, Block Blob Storage, and FileStorage: Do not support access tiers.
4. Redundancy Options:
• GPv2: Offers LRS, GRS, RA-GRS, ZRS, GZRS, and RA-GZRS.
• Blob Storage: Offers LRS, GRS, RA-GRS, ZRS.
• GPv1: Offers LRS, GRS, RA-GRS.
• Block Blob Storage and FileStorage: Offer LRS and ZRS.
5. Pricing:
• GPv2: Generally more cost-effective for most scenarios.
• Blob Storage: Cost-effective for large amounts of unstructured data with tiered pricing.
• GPv1: Higher costs for some operations compared to GPv2.
• Block Blob Storage and FileStorage: Higher costs due to premium performance.

These differences help you choose the right storage account based on your specific needs¹²³.

 

What is Azure API Management?

 

Introduction to Azure API Management

Azure API Management is a comprehensive solution for managing APIs in a secure, scalable, and reliable manner. It provides a range of features to help developers expose their APIs to external and internal consumers, ensuring seamless integration and management.

Key Components

1. API Gateway: Acts as the entry point for client requests, enforcing security, rate limiting, and request transformations.
2. Management Plane: Manages the API lifecycle, including creation, publishing, monitoring, and analytics.
3. Developer Portal: A self-service portal for API consumers to discover APIs, read documentation, and obtain API keys.
4. Backend Services: The actual services that the APIs expose, which can be hosted on Azure, on-premises, or third-party systems.

Example: Securing an API with OAuth 2.0

Step 1: Register an Application in Microsoft Entra ID

1. Go to the Azure portal and navigate to App registrations.
2. Click on New registration and fill in the required details.
3. Note down the Application (client) ID and Directory (tenant) ID.

Step 2: Expose an API

1. In the registered application, go to Expose an API.
2. Set the Application ID URI and add a scope (e.g., api.read).

Step 3: Configure API Management

1. In your API Management instance, go to the API you want to protect.
2. Add a policy to validate the JWT token. Here’s an example policy:

<inbound>
    <validate-jwt header-name="Authorization" failed-validation-httpcode="401" failed-validation-error-message="Unauthorized. Invalid or expired token." require-explicit-authorization="false">
        <openid-config url="https://login.microsoftonline.com/{tenant-id}/v2.0/.well-known/openid-configuration" />
        <audiences>
            <audience>{application-id-uri}</audience>
        </audiences>
    </validate-jwt>
</inbound>

Replace {tenant-id} and {application-id-uri} with your actual tenant ID and application ID URI.

Step 4: Client Application

1. The client application needs to acquire an OAuth 2.0 token from Microsoft Entra ID.
2. Use this token in the Authorization header when making requests to the API.

Conclusion

Azure API Management simplifies the process of exposing and managing APIs, providing robust security, scalability, and monitoring capabilities. By following the steps above, you can secure your APIs using OAuth 2.0, ensuring that only authenticated and authorized clients can access your services.