AI-900: How to Access Computer Vision APIs with a Key and an Endpoint

Learn how to access the Computer Vision APIs with a key and an endpoint, and why a connection string is not required. This article explains the concepts and steps for creating an AI solution that uses Computer Vision capabilities.

Question

You are planning on creating an Al solution that will use Computer Vision capabilities.To access the APIs, what two pieces of information do you need to use?

Select two options.

A. A key
B. A connection string
C. An endpoint

Answer

A. A key
C. An endpoint

Explanation

To use Computer Vision, you need the endpoint and the key of the service.

The correct answer to the question is A. A key and C. An endpoint. Here is a detailed explanation:

To access the Computer Vision APIs, you need to have a key and an endpoint. A key is a string of alphanumeric characters that is used to authenticate your requests to the APIs. An endpoint is a URL that specifies the location of the service that provides the APIs. You can obtain both the key and the endpoint from the Azure portal when you create a Computer Vision resource.

A connection string is not required to access the Computer Vision APIs. A connection string is a combination of key-value pairs that contains information such as the endpoint, the key, and other parameters for connecting to a service. Connection strings are used for some Azure services, such as Azure Storage and Azure Cosmos DB, but not for Computer Vision.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.