Trying to Access Azure Openai from Postman Using Private Endpoint

Azure OpenAI Service allows developers to harness OpenAI models for various applications, from conversational AI to code generation. However, for organizations prioritizing security, accessing Azure OpenAI through a private endpoint is ideal, as it restricts access Azure OpenAI from Postman Using a Private Endpoint to internal networks and reduces exposure to the public internet. Private endpoints provide a secure, network-isolated environment to interact with Azure resources, ensuring traffic stays within your virtual network. This guide covers all aspects of configuring Azure OpenAI with a private endpoint, setting up Postman to test connectivity, and troubleshooting common issues.

Trying to access azure openai from postman using private endpoint involves several steps, from setting up the private endpoint in Azure to configuring DNS settings for internal routing. pitfalls, and provide best practices for secure, effective access.

Key Information About Trying to Access Azure Openai from Postman Using Private Endpoint

Aspect	Details
Service	Azure OpenAI
Tool for Testing	Postman
Purpose of Private Endpoint	Restrict access  Azure OpenAI from Postman Using a Private Endpoint to internal networks, prevent exposure to the public internet, and improve security
Network Requirements	Active Azure VNet with appropriate subnet configuration
Key Components	Private endpoint, DNS configuration, network security groups (NSGs)
Authentication	API Key or managed identities
Common Issues	DNS resolution errors, network security blocks, API key errors
Best Practices	Use NSGs for limited access Azure OpenAI from Postman Using a Private Endpoint, secure API keys, monitor traffic logs, enable private DNS integration

Overview of trying to access azure openai from postman using private endpoint

Azure OpenAI provides access Azure OpenAI from Postman Using a Private Endpoint to powerful AI models hosted on Azure’s secure, scalable cloud platform. With these models, developers can integrate functionalities like natural language processing, code completion, and conversation simulations. However, security is critical for organizations managing sensitive data, and using private endpoints ensures that API requests remain within Azure’s network boundaries, reducing risk.

Private endpoints allow you trying to access azure openai from postman using private endpoint services privately by connecting to Azure services through a private IP address within your VNet, which significantly enhances security. This setup removes the need for internet-based access Azure OpenAI from Postman Using a Private Endpoint  and is highly recommended for sensitive applications. When configured, all requests to  Azure OpenAI from Postman Using a Private Endpoint flow through your internal network, offering secure and compliant access.

Prerequisites and Initial Setup

Before accessing Azure OpenAI from Postman using a private endpoint, ensure that you have completed several essential prerequisites. Setting up a secure connection involves not only preparing your Azure and network environment but also configuring tools like Postman to work seamlessly with the private endpoint.

1. Azure Account and Subscription
To get started, you need an active Azure account and subscription with access to Azure OpenAI. Azure OpenAI from Postman Using a Private Endpointservices are often limited to specific regions and may require additional permissions, so check that your subscription supports OpenAI Service access.

To access Azure OpenAI from Postman Using a Private Endpoint and configure private endpoints, you need an active Azure account and a compatible subscription plan. For new users, Azure offers a free account with initial credits, but for ongoing access Azure OpenAI from Postman Using a Private Endpoint a pay-as-you-go or enterprise-level subscription is generally required. These higher-tier subscriptions provide the flexibility to use specialized services and advanced networking options like private endpoints, which are often restricted in the free tier.

Setting Up an Azure Subscription

• Pay-As-You-Go:                                                                                                                                  The most flexible plan, this allows you to pay only for the resources you use, without any long-term commitment. This is suitable for businesses and developers who want scalable, on-demand access Azure OpenAI from Postman Using a Private Endpoint services.The Pay-As-You-Go subscription model trying to access azure openai from postman using private endpoint is designed to offer flexibility and control over cloud costs, making it ideal for businesses, developers, and individuals who want to scale their usage without long-term commitments. With Pay-As-You-Go, you only pay for the resources and services you use, allowing you to adjust your cloud environment to meet specific project requirements or budget constraints.
• Enterprise Agreement:                                                                                                             Tailored for larger organizations, this agreement provides predictable pricing, volume discounts, and access to an extensive range of Azure services. Enterprise Agreements are typically used by organizations that require dedicated support and a higher level of service management.The Enterprise Agreement (EA) subscription model is designed specifically for large organizations that require extensive access Azure OpenAI from Postman Using a Private Endpoint services with predictable pricing and dedicated support. This model provides enterprise-level benefits, including discounts on high-volume usage, flexible payment structures, centralized management, and support tailored to complex, large-scale environments. 

An Enterprise Agreement is ideal for businesses needing a comprehensive cloud strategy, offering resources for development, testing, production, and advanced workloads under a single, unified agreement.

• Azure Dev/Test Pricing:                                                                                                                 .Azure Dev/Test Pricing is a specialized subscription option designed for development and testing environments, allowing organizations to access  Azure OpenAI from Postman Using a Private Endpoint services at reduced rates. This pricing model is tailored for developers, testers, and teams who need to build and test applications in non-production environments without incurring the same costs as production resources. The Dev/Test Pricing model is particularly advantageous for organizations with Visual Studio subscriptions, providing an economical way to create isolated development environments with all the benefits of Azure’s cloud infrastructure.

Available to organizations with Visual Studio subscriptions, this option offers discounted rates for development and testing environments, ideal for exploring Azure OpenAI capabilities before deploying in production

2. Virtual Network (VNet)
Setting up a virtual network (VNet) is essential for connecting to Azure services through a private endpoint. You’ll need a VNet that includes subnets capable of hosting the private endpoint. Ensure that the VNet and subnet configurations meet Azure’s requirements, as this network setup is critical for routing private traffic securely.

A Virtual Network (VNet) in Azure is a foundational component for setting up secure, isolated network environments within the Azure cloud. Similar to an on-premises network, an Azure VNet enables organizations to create and manage virtual networking resources, allowing for secure communication between Azure resources and providing control over IP address ranges, subnets, and security policies. 

• Subnets:                                                                                                                                     Create a dedicated subnet for private endpoints to keep your network organized and ensure security policies are straightforward. This will allow you to better manage network traffic and apply specific Network Security Group (NSG) rules.In Azure Virtual Networks (VNets),  are crucial components that allow you to segment the overall network into smaller, more manageable sections. By dividing a VNet into subnets, you can organize and isolate different resources, enhancing security and optimizing traffic flow within your cloud infrastructure.

Trying to access azure openai from postman using private endpoint Each subnet operates within a defined range of IP addresses within the VNet’s IP address space, providing flexibility to separate workloads and apply specific security and access Azure OpenAI from Postman Using a Private Endpoint  control policies to each subnet independently.

• VNet Peering:                                                                                                                                       If your resources are spread across multiple VNets, consider VNet peering to enable seamless connectivity between resources in different networks.VNet Peering in Azure is a powerful feature that enables seamless and secure connectivity between two or more Virtual Networks (VNets) within the same region or across different Azure regions. By establishing a peering connection, you create a low-latency, high-bandwidth network link that allows resources in one VNet to communicate with resources in another as though they are part of the same network. 

VNet Peering is essential for creating scalable, connected infrastructures, supporting applications with distributed architectures, and facilitating resource sharing across different VNets without requiring VPN gateways or complex configurations.

3. DNS Configuration
A DNS setup that supports Azure Private DNS or custom DNS is necessary for resolving the private endpoint’s name. Azure Private DNS enables automatic DNS resolution for resources within the network, simplifying the process. If you choose to use custom DNS, ensure that your DNS server is configured to recognize the private endpoint, or your requests may not route correctly.DNS Configuration in Azure OpenAI from Postman Using a Private Endpoint.Azure is a critical component for managing how resources within a Virtual Network (VNet) locate and communicate with each other, as well as with external services.

 By properly configuring DNS (Domain Name System) settings, you ensure that your resources can resolve domain names to IP addresses quickly, securely, and accurately, which is essential for both internal and external connectivity. Azure offers several DNS options tailored to specific network configurations, including Azure-provided DNS, Azure Private DNS, and custom DNS solutions.

4. Postman Installation
Download and install Postman, which will be used to send and testtrying to access azure openai from postman using private endpoint. Postman is a versatile tool that allows you to test endpoints, configure headers, manage authentication, and interpret responses effectively.Postman is a popular tool for API testing, development, and collaboration, allowing developers to create, manage, and test API requests efficiently. Installing Postman is a straightforward process, but understanding the different setup options, configurations, and features can help you get the most out of the tool, especially when working in complex environments like Azure or integrating with private endpoints.

• Set Up Postman Environment:                                                                                      Configure a dedicated environment in Postman for your Azure OpenAI setup. This will help you manage environment variables like endpoint_url, api_key, and any other custom headers you may need. This step ensures consistency in requests and simplifies testing.

5. API Key Access and Authentication
Retrieve your API key from the Azure OpenAI resource. This key will be used for authenticating requests sent through Postman. The API key is available in the “Keys and Endpoint” section of the Azure portal, and you can create or regenerate keys if necessary. Alternatively, if you are using Azure Active Directory (AAD) for enhanced security, configure managed identities to securely authenticate and control access Azure OpenAI from Postman Using a Private Endpoint to the service.

• API Key Management:                                                                                                                  Store your API key securely, and avoid sharing it with unauthorized users. Consider using an API management service to rotate and secure keys if you manage multiple keys for different projects.

6. Permissions and Access Control
Ensure that you have the necessary permissions to create and manage private endpoints, configure VNets, and access the Azure OpenAI service. Proper access control is critical, especially if you’re part of a team, as this ensures that only authorized users can create, modify, or access Azure OpenAI from Postman Using a Private Endpoint  the resources related to your Azure OpenAI setup.

• Role-Based Access Control (RBAC):                                                                              Use RBAC in Azure to assign roles with specific permissions. For example, you may need the “Contributor” role for creating resources or the “Reader” role for viewing configurations.
• Managed Identities (Optional):                                                                                                           If using AAD, consider setting up managed identities to control access Azure OpenAI from Postman Using a Private Endpoint   without the need for storing API keys manually. Managed identities help maintain compliance and simplify identity management for services running on Azure.

By completing these prerequisites, you establish a solid foundation for configuring Azure OpenAI with a private endpoint, ensuring a smooth, secure setup. Each of these elements plays a role in network security, efficient API access Azure OpenAI from Postman Using a Private Endpoint,and streamlined troubleshooting, setting the stage for successful connectivity to Azure OpenAI through Postman.

Configuring the Private Endpoint for Azure OpenAI

To set up a private endpoint for Azure OpenAI, follow these steps:

1. Navigate to the Azure OpenAI Resource:                                                                                      In your Azure portal, locate the Azure OpenAI resource and go to the settings for creating a private endpoint.Navigating to the Azure OpenAI Resource is the first step in managing and configuring your OpenAI services within Azure. The Azure portal offers a user-friendly, centralized interface where you can view, configure, monitor, and manage all aspects of your Azure OpenAI resource, from setting up API endpoints to handling access Azure OpenAI from Postman Using a Private Endpoint control and monitoring usage. Properly accessing and navigating this resource is essential for administrators, developers, and data scientists who intend to leverage OpenAI models securely and efficiently within their applications.

Here’s a detailed guide on how to locate and navigate the Azure OpenAI Resource, including key features you’ll find within the portal:

     2.Accessing the Azure Portal

To begin, go to the Azure portal and sign in with your Microsoft Azure credentials. The portal provides access Azure OpenAI from Postman Using a Private Endpoint to all your Azure resources, billing information, and subscription management, making it the main hub for managing your cloud infrastructure.

• If you don’t have an account, you’ll need to create one and subscribe to a plan that supports Azure OpenAI access. Note that Azure OpenAI may require special approval to access Azure OpenAI from Postman Using a Private Endpoint, depending on your subscription and intended use case.

3. Finding the OpenAI Resource

Once you’re signed in:

• Step 1:                                                                                                                                            In the Azure portal’s search bar, type “Azure OpenAI” or “OpenAI.” This will bring up the relevant resource if it has already been created.
• Step 2:                                                                                                                                               If you haven’t created an OpenAI resource yet, navigate to Create a Resource and search for “Azure OpenAI” in the marketplace. From here, follow the steps to create an instance of the Azure OpenAI resource in your preferred subscription and region.
• Step 3:                                                                                                                                                   After creating the resource, it will appear in the All Resources section of the portal, allowing you to access Azure OpenAI from Postman Using a Private Endpoint it directly.

2. Configure Private Endpoint Settings
   • Virtual Network Selection:                                                                                         Choose the VNet where you want the private endpoint to reside. Ensure this VNet is properly configured with subnets.
   • DNS Integration:                                                                                                    Select Azure Private DNS for seamless DNS resolution, or configure custom DNS if using external DNS providers.
   • Network Security Groups (NSGs):                                                                                                     Set up NSG rules if necessary, allowing traffic only from trusted sources like your Postman instance or specific IP ranges.
3. Complete the Private Endpoint Setup:                                                                          Once you’ve configured the settings, complete the private endpoint setup. Azure will take a few moments to provision the private endpoint and verify connectivity.
4. Testing:                                                                                                                                    Verify the connection in Azure, using tools like Network Watcher to confirm connectivity from your VNet to Azure OpenAI through the private endpoint.

Once completed, this private endpoint restricts access Azure OpenAI from Postman Using a Private Endpoint to Azure OpenAI, securing the connection and ensuring all traffic remains within your internal network.

Setting Up Postman to Access Azure OpenAI Through a Private Endpoint

To test connectivity, Postman will be set up to send requests through your private endpoint.

1. Create a New Postman Environment:                                                                                            Set up an environment specific to Azure OpenAI, adding environment variables such as endpoint_url, api_key, and other relevant configurations.
   • Postman is a popular tool for API testing, development, and collaboration, allowing developers to create, manage, and test API requests efficiently. Installing Postman is a straightforward process, but understanding the different setup options, configurations, and features can help you get the most out of the tool, especially when working in complex environments like Azure OpenAI from Postman Using a Private Endpoint  or integrating with private endpoints.

Why Use Postman for API Testing?

1. User-Friendly Interface:                                                                                                                                                                                                                                                                                                                                                                                       Postman provides a simple yet powerful interface that makes it easy to create, organize, and test HTTP requests. It supports multiple HTTP methods (GET, POST, PUT, DELETE, etc.), which are essential for interacting with RESTful APIs.
2. Comprehensive Testing Features:                                                                                                                                                             Postman offers advanced testing capabilities, including request automation, environment variables, and scripting to validate responses, automate workflows, and manage complex API interactions.
3. Collaboration Tools:                                                                                                                        With Postman, teams can share collections, requests, and environment configurations, which simplifies collaboration across development and testing teams, ensuring everyone has access Azure OpenAI from Postman Using a Private Endpoint to the latest API specifications and tests.
4. Integration with CI/CD:                                                                                                          Postman integrates seamlessly with CI/CD pipelines, enabling automated testing for continuous integration and delivery workflows, which helps catch issues early in the development cycle.

How to Install Postman

Postman can be installed on multiple platforms, including Windows, macOS, and Linux. It also has a web-based version, although the desktop app offers additional features such as access Azure OpenAI from Postman Using a Private Endpoint to local files and the ability to run tests offline.

1. Installing Postman on Windows

• Step 1: Visit the Postman download page and select the Windows download option. Postman provides both 32-bit and 64-bit versions, so ensure you select the correct version based on your operating system.
• Step 2: Once downloaded, run the installer executable (Postman-win64-setup.exe).
• Step 3: Follow the installation prompts. Postman will install itself in the default location unless specified otherwise. The installation process is straightforward, typically requiring only a few clicks.
• Step 4: After installation, launch Postman. You can start using it without creating an account, though signing in or creating an account will unlock collaboration features, such as cloud storage for collections and syncing across devices.

2. Installing Postman on macOS

• Step 1: Go to the Postman download page and download the macOS version.
• Step 2: Open the downloaded .dmg file and drag the Postman icon to the Applications folder to install it.
• Step 3: Once installed, open Postman from the Applications folder. You may need to authorize it to run depending on your macOS security settings.
• Step 4: Optional: Sign in or create a Postman account to access Azure OpenAI from Postman Using a Private Endpoint collaborative features, sync collections across devices, and back up your work to the cloud.

3. Installing Postman on Linux

Postman is available as a standalone application on Linux, with distributions available in both .tar.gz and .snap formats.

• Snap Installation:
  • Step 1: Open a terminal and enter the command: sudo snap install postman.
  • Step 2: Once the installation is complete, launch Postman by typing postman in the terminal or by searching for it in your applications menu.
• Manual Installation (for .tar.gz format):
  • Step 1: Download the .tar.gz file from the Postman download page.
  • Step 2: Extract the file to a directory of your choice, e.g., tar -xzf Postman-linux-x64.tar.gz.
  • Step 3: Navigate to the extracted folder and run the Postman executable using the command: ./Postman.
  • Step 4: (Optional) For easier access Azure OpenAI from Postman Using a Private Endpoint, create a desktop shortcut or link to the application.

4. Using the Postman Web App

Postman also offers a web-based version accessible through any modern browser at web.postman.co. The web version includes most of the core Postman features and is useful if you prefer not to install any software. However, some advanced features, such as access to local files or environment variables tied to the local filesystem, may be limited in the web version.

1. Setting Up Postman After Installation

Once Postman is installed, trying to access azure openai from postman using private endpoint you can start creating and testing requests. Here are the steps to set up Postman for effective use:

2. Create a New Workspace: Workspaces help organize collections, environments, and requests. To create a workspace, go to Workspaces in the Postman interface and select Create Workspace. You can have personal workspaces or team workspaces for collaborative projects.
3. Add Collections: Collections in Postman are groups of related requests, making it easy to organize and run multiple requests sequentially. To create a collection, go to Collections and select New Collection. Collections are particularly useful for testing API workflows or documenting APIs in a structured way.
4. Set Up Environments: Environments in Postman allow you to define variables that can be used across requests. For instance, you can set up an environment with variables like base_url, auth_token, and user_id. This is especially helpful when working with multiple environments (e.g., development, staging, and production) as you can switch environments without manually editing URLs or parameters in each request.
5. Configuring Authorization: If the APIs you’re testing require authorization, you can set up authentication tokens, API keys, or OAuth credentials in Postman. Go to the Authorization tab in each request or at the collection level to add your credentials, allowing you to test secured endpoints seamlessly.
6. Install and Use Postman Desktop Agent (for Web App Users): If you’re using the web version of Postman and need to access local resources or interact with localhost servers, install the Postman Desktop Agent. The agent bridges the gap between the web app and local APIs, enabling you to run requests to servers running on your local machine.
7. Configuring the API Key:
   • Authorization Settings: Use the API key from the Azure portal and set it as the Authorization header in Postman.
   • Where to Find the API Key: Navigate to the Azure portal, locate Azure OpenAI, and retrieve your API key from the “Keys and Endpoint” section.
8. Using the Private Endpoint DNS Name:
   • Enter the private endpoint DNS (e.g., your-private-endpoint.privatelink.openai.azure.com) as the base URL in Postman.
   • Ensure you are using the correct endpoint path, such as /v1/models or /v1/completions, to access the model you need.
9. Testing the Configuration: Send a test request to Azure OpenAI from Postman to confirm connectivity.

This configuration ensures that your requests to Azure OpenAI are sent through the private endpoint, maintaining network isolation and enhanced security.

Testing Connectivity from Postman to Azure OpenAI

Testing connectivity is essential to confirm the private endpoint’s setup:

• Setting Up a Basic API Request: Use a basic request (e.g., GET /v1/models) to retrieve available models. Include required headers like Authorization (API key) and Content-Type.
• Check for Successful Response: A successful connection typically returns a 200 OK status, with details of the available models or response data.
• Common Errors:
  • 403 Forbidden: Indicates potential authentication issues or network restrictions.
  • 404 Not Found: Suggests that the endpoint URL may be incorrect; verify the DNS and endpoint path.
• Troubleshooting Steps:
  • Ensure DNS resolves correctly to the private endpoint by testing with nslookup or similar tools.
  • Review network security groups or firewall settings to confirm that Postman’s requests are permitted.

Advanced Configuration Options and Best Practices

For a more secure and reliable setup, consider the following best practices:

• DNS Configuration: Use Azure Private DNS for automated DNS management, or configure a custom DNS if using non-Azure DNS providers.
• Network Security:
  • Set up NSGs to allow traffic only from authorized sources like your Postman instance or specific IP addresses, reducing the risk of unauthorized access.
• Access Control:
  • Use role-based access control (RBAC) and managed identities if using Azure Active Directory (AAD) to limit access to specific users or applications.

Following these configurations helps ensure secure, compliant access to Azure OpenAI, and minimizes the risk of unauthorized traffic reaching your private endpoint.

Common Issues and Troubleshooting

When using private endpoints, connectivity or authorization issues may arise. Here are some common issues and solutions:

• 403 Forbidden Error: Verify the API key and network security settings. Ensure Postman has the necessary headers and is configured correctly.
• 404 Not Found: Confirm the endpoint URL and DNS settings. Ensure the private endpoint’s DNS resolves to the correct IP address.
• DNS Resolution Problems: Test DNS resolution with tools like nslookup to verify that the private endpoint DNS name maps correctly to the private IP.
• Network Security: Check NSGs, firewall settings, and VNet configurations to confirm that traffic from Postman to Azure OpenAI is permitted.

Taking these steps helps troubleshoot and resolve connectivity issues with minimal downtime.

Security and Best Practices for Using Private Endpoints with Azure OpenAI

For maximum security, consider the following best practices:

• Limit Access Using NSGs: Configure network security groups to restrict traffic to trusted IPs or applications, ensuring only authorized traffic reaches your private endpoint.
• Use Private DNS: Enable Azure Private DNS for easier DNS management and internal network resolution.
• Implement RBAC and Managed Identities: Limit access to Azure OpenAI through Azure Active Directory (AAD) and apply RBAC policies to control who can access the service.
• Enable Logging and Monitoring: Set up logging and monitoring to track usage patterns, detect anomalies, and maintain a secure environment.

Following these best practices provides a secure, efficient setup for accessing Azure OpenAI via a private endpoint, helping you maintain compliance and protect sensitive data.

Conclusion – trying to access azure openai from postman using private endpoint

Configuring Azure OpenAI with a private endpoint provides secure, isolated access to powerful AI models within your organization’s network. By setting up Postman with proper authentication, DNS, and network settings, you can confidently test and interact with Azure OpenAI without exposing sensitive data to the internet.trying to access azure openai from postman using private endpoint. Following best practices for security, access control, and monitoring helps maintain a reliable, secure connection to Azure OpenAI, making it a robust solution for any application requiring secure AI capabilities.

Whether you use Azure-provided DNS for basic setups, Azure Private DNS for internal name resolution, or custom DNS servers for advanced scenarios, each configuration method serves specific needs based on your application and security requirements.

FAQs

What is Azure DNS, and why is it important?

Azure DNS is a cloud-based DNS service that provides name resolution for Azure resources, enabling secure and efficient communication within and across VNets, peered VNets, and hybrid networks.

What types of DNS options are available in Azure?

Azure offers Azure-provided DNS, Azure Private DNS for internal name resolution, Azure DNS for public domains, and custom DNS servers.

When should I use Azure Private DNS?

Use Azure Private DNS when you need internal name resolution for resources within a VNet or peered VNets without exposing names or IPs to the public internet.

How does Azure Private DNS improve security?

Azure Private DNS allows resources to resolve internal domain names privately, keeping sensitive resources hidden from the internet, which strengthens network security.

Can I use my own custom DNS server in Azure?

Yes, you can specify custom DNS servers in Azure, which is especially useful for hybrid cloud setups to ensure consistent name resolution between on-premises and Azure resources.

What is VNet peering, and how does it relate to DNS?

VNet peering connects two VNets, allowing them to communicate as if they’re on the same network. With proper DNS configuration, resources in peered VNets can resolve each other’s domain names.

What are the advantages of using service endpoints with DNS?

Service endpoints allow secure, direct access to Azure services from within a VNet, improving security by keeping traffic on the Azure backbone and avoiding the public internet.

How do I enable DNS logging in Azure?

Enable DNS logging through Azure Monitor, where you can track and analyze DNS queries, aiding in troubleshooting and ensuring compliance.

What are NSG rules, and how do they relate to DNS?

Network Security Groups (NSGs) control inbound and outbound traffic in subnets or VMs, adding an extra layer of security to DNS configurations by regulating access to resources.

How do I set up conditional forwarding for DNS in a hybrid cloud setup?

Configure conditional forwarding in your custom DNS server to direct specific domain queries to an on-premises DNS, while Azure DNS handles others, ensuring seamless hybrid name resolution.

Can I use Azure DNS for public domains?

Yes, Azure DNS can host public DNS zones, allowing you to manage domain records for websites and applications, supporting records like A, CNAME, and MX.

What are the best practices for DNS configurations in Azure?

Best practices include using private DNS zones for internal resources, avoiding overlapping IP addresses, enabling DNS logging, and using centralized management for large environments.

How does Azure Private DNS support private endpoints?

Azure Private DNS enables private endpoints to resolve domain names internally, providing secure, private access to Azure services without internet exposure.

How do I connect on-premises resources to Azure DNS?

Set up a VPN or ExpressRoute connection to link on-premises resources to Azure, allowing them to use Azure DNS or custom DNS servers for name resolution.

What is a DNS zone, and why is it used?

A DNS zone is a container for DNS records for a particular domain. Azure DNS zones allow you to manage these records to control how domain names resolve to IPs.