You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
To access a published inference pipeline in Azure Machine Learning designer, you need the REST endpoint to make API calls to the web service and the authentication key to securely authenticate those requests. The REST endpoint provides the URL through which you can interact with the service, while the authentication key ensures that access is granted only to authorized users.
Since the service is exposed as a REST API, you need a REST endpoint and an API key to authenticate requests.
C & D are correct
C & D are correct answers
Answewr is correct.
Correct C & D .
REST endpoint: When you publish an inference pipeline, it becomes a web service accessible through a REST API. To interact with this service, you need the URL of the endpoint. Authentication key: To ensure secure access to your service, Azure Machine Learning uses authentication keys. You'll need the primary key associated with your published pipeline for authorization.
Same as Question 35. https://www.examtopics.com/discussions/microsoft/view/33602-exam-ai-900-topic-1-question-35-discussion
caiu no exame do dia 16/06/2023
C & D are correct answers ' ' ' '.