Skip to Content

AI-900: Consuming Azure ML Designer Inference Pipelines with REST Endpoints

Deploying predictive models for consumption demands publishing real-time endpoints. Learn how Azure ML publishes REST APIs for client apps to leverage trained machine learning pipelines.

Question

You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline?
Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. the model name
B. the training endpoint
C. the authentication key
D. the REST endpoint

Answer

C. the authentication key
D. the REST endpoint

Explanation

The correct answer is C. the authentication key and D. the REST endpoint.

To consume an inference pipeline published by Azure Machine Learning designer, you need to use the authentication key and the REST endpoint of the pipeline. The authentication key is a secret token that is used to authorize requests to the pipeline. The REST endpoint is a URL that exposes the pipeline as a web service that can be invoked by any HTTP client.

The other options are not correct for the following reasons:

  • the model name: This is the name of the machine learning model that is used in the inference pipeline. It is not a parameter that is used to consume the pipeline, as it does not identify or authorize the pipeline.
  • the training endpoint: This is the URL that exposes the training pipeline as a web service that can be used to retrain the model. It is not a parameter that is used to consume the inference pipeline, as it does not invoke the inference pipeline.

References

Microsoft Docs > Azure > Machine Learning > Run batch predictions using Azure Machine Learning designer

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

    Ads Blocker Image Powered by Code Help Pro

    Your Support Matters...

    We run an independent site that is committed to delivering valuable content, but it comes with its challenges. Many of our readers use ad blockers, causing our advertising revenue to decline. Unlike some websites, we have not implemented paywalls to restrict access. Your support can make a significant difference. If you find this website useful and choose to support us, it would greatly secure our future. We appreciate your help. If you are currently using an ad blocker, please consider disabling it for our site. Thank you for your understanding and support.