Learn the essential details required to use Microsoft Azure AI service endpoints, including endpoint URL, resource location, and subscription key, for smooth application integration.
Table of Contents
Question
Your organization, Nutex Corporation, is developing a suite of AI-driven applications to enhance customer support and automate business processes. As part of this initiative, you need to set up a new Azure AI resource and determine the default endpoint for a service to ensure seamless integration and communication.
Which of the following information is required by the application to use the Azure AI service through an endpoint? (Choose all that apply.)
A. The Endpoint URL
B. SDK
C. The Resource Location
D. A Subscription Key
E. SLA with Microsoft
Answer
A. The Endpoint URL
C. The Resource Location
D. A Subscription Key
Explanation
When you create an Azure AI service resource within your Azure subscription, you establish an endpoint that applications can use to access the service.
To use the service via this endpoint, applications need the following details:
- The endpoint URL – The endpoint URL is crucial for accessing the Azure AI service. It specifies the address where the service is hosted and where API requests need to be sent. Without the endpoint URL, the application cannot connect to the service to make use of its capabilities. This is the HTTP address where the service’s REST interface is available. Most AI service SDKs utilize the endpoint URL to establish a connection to the service.
- A Subscription Key – A subscription key is required for authentication and authorization when accessing the Azure AI service. Each request to the service must include this key to verify that the request is coming from an authorized user or application. This ensures secure access to the service. Access to the endpoint is secured using a subscription key. When you set up an AI service resource, two keys are generated, either of which can be used by applications. You can regenerate these keys as needed to manage access to your resource.
- The Resource Location – The resource location indicates where the Azure AI service is hosted geographically. Knowing the resource location is important for compliance, performance, and latency considerations. It ensures that the data is processed in a specific region which can be important for meeting regulatory requirements and optimizing performance. When provisioning a resource in Azure, you assign it a specific location, which designates the Azure datacenter where the resource resides.
SLA with Microsoft is not required by the application to use the Azure AI service through an endpoint. The Service Level Agreement (SLA) defines the performance and uptime guarantees provided by Microsoft for the Azure AI service. It is important for understanding the reliability and availability of the service. However, it is not required by the application to connect to and use the service through an endpoint.
The software development kit (SDK) is not required by the application to use the Azure AI service through an endpoint. The SDK provides tools and libraries for developers to interact with Azure AI services more easily. This tool helps simplify development but is not essential for making direct API calls to the service.
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